Statistics

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Table of Contents Introductory Statistics & General References .............3 Statistical Theory & Methods....................................4 Biostatistics & Epidemiology....................................10 Computational Statistics..........................................15 Machine Learning & Data Mining...........................20 Statistics in the Social & Behavioral Sciences............22 Statistics in Business, Finance & Economics.............24 Statistics in the Life Sciences....................................26 Page 15

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Environmental Statistics...........................................27 Statistics in Engineering...........................................28

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Introductory Statistics & General References Textbook

Using R for Introductory Statistics

Analytic Methods in Sports

John Verzani

Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports

CUNY/College of Staten Island, New York, USA

Thomas A. Severini

Second Edition Chapman & Hall/CRC The R Series

This second edition of a bestselling book guides students through the basics of R, helping them overcome the sometimes-steep learning curve. The author does this by breaking down the material into small, task-oriented steps. The second edition maintains the features that made the first edition so popular while updating data, examples, and changes to R in line with the current version. A solutions manual and figure slides are available upon qualifying course adoption.

This book provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analysis. The book integrates numerous motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Many of the datasets are available from the author’s website.

Print ISBN: 978-1-4665-9073-1 eBook ISBN: 978-1-4665-9076-2 June 2014, 6-1/8 x 9-1/4, 518 pp. $59.95 / £38.99

Print ISBN: 978-1-4822-3701-6 eBook ISBN: 978-1-4822-3702-3 August 2014, 6-1/8 x 9-1/4, 254 pp. $59.95 / £38.99

Textbook

Probability and Statistics with R

Leadership and Women in Statistics

Second Edition

Edited by

Maria Dolores Ugarte, Ana F. Militino, and Alan T. Arnholt

Amanda L. Golbeck, Ingram Olkin, and Yulia R. Gel

This bestseller presents clear examples, fully detailed proofs, and excellent visual appeal. It provides entirely worked-out examples in R, with virtually every topic covered. The proofs do not omit steps or assume anything is obvious. This makes some of them long but much easier to follow. The graphs are exceptional in their scope and clarity, giving the book great visual appeal. A solutions manual and figure slides are available upon qualifying course adoption.

This book explores how women in statistics can incorporate leadership into the multifaceted paths of their diverse careers while simultaneously enjoying satisfying lives outside of work. It shows how women leaders in statistics may optimize their lives within constraints. The book presents fresh and engaging approaches and identifies opportunities for both emerging and existing leaders to foster their creative outputs and develop their leadership voices.

Print ISBN: 978-1-4665-0439-4 July 2015, 7 x 10, 984 pp. $89.95 / £57.99

Print ISBN: 978-1-4822-3644-6 July 2015, 6-1/8 x 9-1/4, 456 pp. $79.95 / £49.99

Principles of Scientific Methods

Statistics in Action

Mark Chang

A Canadian Outlook

AMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA

This book focuses on the fundamental principles behind scientific methods. The author uses concrete examples to explain principles. He also uses analogies to connect different methods or problems to arrive at a general principle or common notion. The book explores how the principles of scientific methods are not only applicable to scientific research but also in our daily lives. It shows how the scientific method is used to understand how and why things happen, make predictions, prevent mistakes, and solve problems.

Print ISBN: 978-1-4822-3809-9 eBook ISBN: 978-1-4822-3810-5 July 2014, 6-1/8 x 9-1/4, 247 pp., Paperback $49.95 / £31.99

Edited by

Jerald F. Lawless University of Waterloo, Ontario, Canada

Commissioned by the Statistical Society of Canada (SSC), this volume helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian statisticians are making to science, technology, business, government, and other areas. The book emphasizes the role and impact of computing in statistical modeling and analysis, including the issues involved with the huge amounts of data being generated by automated processes.

Print ISBN: 978-1-4822-3623-1 eBook ISBN: 978-1-4822-3624-8 March 2014, 6-1/8 x 9-1/4, 384 pp. $99.95 / £63.99

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Introductory Statistics & General References / Statistical Theory & Methods Past, Present, and Future of Statistical Science

Textbook

Edited by

Basic Ideas and Selected Topics, Volume II

Xihong Lin, Christian Genest, David L. Banks, Geert Molenberghs, David W. Scott, and Jane-Ling Wang

Peter J. Bickel

To celebrate the 50th anniversary of the Committee of Presidents of Statistical Societies (COPSS), this volume showcases the breadth and vibrancy of statistics, describes current challenges and new opportunities, highlights the exciting future of statistical science, and provides guidance to future generations of statisticians. Fifty distinguished statisticians who are past winners of at least one of the five awards sponsored by COPSS present expository articles on a broad spectrum of topics in statistical education, research, and applications.

University of Wisconsin–Madison, USA

Print ISBN: 978-1-4822-0496-4 eBook ISBN: 978-1-4822-0498-8 March 2014, 6-1/8 x 9-1/4, 646 pp. $79.95 / £49.99

Print ISBN: 978-1-4987-2268-1 August 2015, 7 x 10, 600 pp., Pack - Book and Ebook $99.95 / £63.99

Textbook

Textbook

Introduction to Probability

Stochastic Modeling and Mathematical Statistics

Joseph K. Blitzstein Harvard University, Cambridge, Massachusetts, USA

Mathematical Statistics University of California, Berkeley, USA

Kjell A. Doksum Series: Chapman & Hall/CRC Texts in Statistical Science

This book covers a number of topics that are important in current measure theory and practice. It emphasizes nonparametric methods that can really only be implemented with modern computing power on large and complex data sets. The text includes a large number of problems with more difficult ones appearing with hints and partial solutions for the instructor. A solutions manual and figure slides are available upon qualifying course adoption.

Stanford University, California, USA

A Text for Statisticians and Quantitative Scientists

Series: Chapman & Hall/CRC Texts in Statistical Science

Francisco J. Samaniego

Jessica Hwang

Assuming one semester of calculus, this textbook clearly explains the importance of widely used distributions in statistics, such as normal, binomial, and Poisson, and explores how they are all connected. The book makes the distributions easier to remember, understand, and work with by illustrating natural applications where they arise, including applications of MCMC. R is used to perform statistical calculations. A solutions manual, instructor’s manual, and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-7557-8 eBook ISBN: 978-1-4987-0478-6 July 2014, 7 x 10, 596 pp., Pack - Book and Ebook $99.95 / £49.99

University of California, Davis, USA Series: Chapman & Hall/CRC Texts in Statistical Science

This book is intended for a two-quarter or two-semester post-calculus introduction to probability and mathematical statistics for undergraduate students as well as for graduate students in the quantitative sciences. The book serves two different audiences: (a) majors and minors in mathematics and statistics and (b) students in quantitative disciplines with the appropriate mathematical background and a serious interest in understanding probability and statistics at the foundational level.

A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-6046-8 eBook ISBN: 978-1-4665-6047-5 January 2014, 7 x 10, 622 pp. $89.95 / £57.99

Textbook

Textbook

Mathematical Statistics

Bayesian Data Analysis

Basic Ideas and Selected Topics, Volume I, Second Edition

Third Edition

Peter J. Bickel University of California, Berkeley, USA

Kjell A. Doksum University of Wisconsin–Madison, USA Series: Chapman & Hall/CRC Texts in Statistical Science

This first volume presents fundamental, classical statistical concepts at the doctorate level without using measure theory. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods. The book includes indepth examples throughout as well as many exercises at the end of each chapter.

A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4987-2380-0 February 2015, 7 x 10, 578 pp., Pack - Book and Ebook $99.95 / £63.99

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Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin Series: Chapman & Hall/CRC Texts in Statistical Science

Now in its third edition, this classic book continues to take an applied approach to analysis using Bayesian methods.

Along with new and revised software code, this edition includes four new chapters on nonparametric modeling, updates the discussion of cross-validation and predictive information criteria, and improves convergence monitoring and effective sample size calculations for iterative simulation. It also covers weakly informative priors, boundary-avoiding priors, Hamiltonian Monte Carlo, variational Bayes, and expectation propagation. Data sets and other materials are available online. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-4095-5 eBook ISBN: 978-1-4398-4096-2 November 2013, 7 x 10, 675 pp. $69.95 / £44.99

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Statistical Theory & Methods Hierarchical Modeling and Analysis for Spatial Data Second Edition Sudipto Banerjee, Bradley P. Carlin, and Alan E. Gelfand Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

More than twice the size of its predecessor, this second edition reflects the major growth in spatial statistics as both a research area and an area of application. This edition includes four new chapters on spatial point patterns, big data, spatial and spatiotemporal gradient modeling, and the theoretical aspects of point-referenced modeling. It also expands several other chapters, updates the WinBUGS programs and R packages, doubles the number of exercises, and integrates many more color figures throughout the text.

Print ISBN: 978-1-4398-1917-3 eBook ISBN: 978-1-4398-1918-0 September 2014, 7 x 10, 584 pp. $99.95 / £63.99

Textbook

Linear Algebra and Matrix Analysis for Statistics Sudipto Banerjee University of Minnesota, Minneapolis, USA

Anindya Roy University of Maryland Baltimore County, USA Series: Chapman & Hall/CRC Texts in Statistical Science

Assuming no prior knowledge of linear algebra, this selfcontained text offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book covers important topics in linear algebra that are useful for statisticians, including the concept of rank, the fundamental theorem of linear algebra, projectors, and quadratic forms. It also provides an extensive collection of exercises on theoretical concepts and numerical computations. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4200-9538-8 eBook ISBN: 978-1-4398-0011-9 June 2014, 6-1/8 x 9-1/4, 580 pp. $79.95 / £49.99

Textbook

Textbook

Bayesian Networks

Statistical Inference

With Examples in R

An Integrated Approach, Second Edition

Marco Scutari Jean-Baptiste Denis

Helio S. Migon, Dani Gamerman, and Francisco Louzada

Unité de Recherche Mathématiques et Informatique Appliquées, INRA, Jouy-en-Josas, France

Series: Chapman & Hall/CRC Texts in Statistical Science

Series: Chapman & Hall/CRC Texts in Statistical Science

Suitable for graduate students and non-statisticians, this text introduces Bayesian networks using a hands-on approach with simple yet meaningful examples in R illustrating each step of the modeling process. The book explains the whole process of Bayesian network modeling, from structure learning to parameter learning to inference. It also gives a concise but rigorous treatment of the fundamentals of Bayesian networks, offers an introduction to causal Bayesian networks, and evaluates real-world examples involving causal protein signaling and body composition prediction. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-2558-7 eBook ISBN: 978-1-4822-2560-0 June 2014, 6-1/8 x 9-1/4, 241 pp. $89.95 / £57.99

Current Trends in Bayesian Methodology with Applications Edited by

This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference. Along with more examples and exercises, this second edition includes new material on empirical Bayes and penalized likelihoods and their impact on regression models and offers expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models. It also compares the Bayesian and frequentist schools of thought and explores procedures that lie on the border between the two. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-7880-4 eBook ISBN: 978-1-4987-0872-2 September 2014, 6-1/8 x 9-1/4, 385 pp. $89.95 / £57.99

Textbook

Analysis of Categorical Data with R

Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, and Appaia Loganathan

Christopher R. Bilder

This book provides a comprehensive survey of recent results in various Bayesian areas. It covers novel Bayesian modeling, spatio-temporal modeling, data mining and machine learning, and Bayesian non-parametric methods.

It also explores neuroimaging and image analysis, meta-analysis, survival analysis, Bayesian econometrics, uncertainty in high-energy astrophysics, fuzzy Bayesian methods, Bayesian application in species abundance, and Bayesian biostatistics and bioinformatics.

Thomas M. Loughin

Print ISBN: 978-1-4822-3511-1 May 2015, 6-1/8 x 9-1/4, 686 pp. $99.95 / £63.99

University of Nebraska, Lincoln, USA Simon Fraser University, Surrey, British Columbia, Canada Series: Chapman & Hall/CRC Texts in Statistical Science

This text covers model building and assessment methods for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The text incorporates numerous examples from medicine, psychology, sports, ecology, and other areas, along with extensive R code and output. Data sets, R programs, and in-class recorded videos are available on the book’s website. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-5567-6 eBook ISBN: 978-1-4398-5569-0 August 2014, 7 x 10, 547 pp. $89.95 / £49.99

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Statistical Theory & Methods Textbook

Visualizing Categorical Data with R Michael Friendly David Meyer

Dependence Modeling with Copulas Harry Joe University of British Columbia, Vancouver, Canada Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Wirtschaftsuniversitaet Wien Series: Chapman & Hall/CRC Texts in Statistical Science

The special nature of discrete variables and frequency data vis-a-vis statistical graphics is now widely accepted.

Many of these methods have become more widely used in research and teaching.

This book provides an accessible introduction to the major methods of categorical data analysis for data exploration, statistical testing, and statistical models. Unlike more theoretical texts, this book helps students translate theory into practical application by providing skills and software tools for carrying out these methods.

An instructor’s manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4987-2583-5 October 2015, 7 x 10, 504 pp., Pack - Book and Ebook $99.95 / £63.99

This book covers recent advances in the field, including vine copula modeling of high-dimensional data. The author develops vine copula models and generalizations, discusses other multivariate constructions and parametric copula families, and presents dependence and tail properties to assist readers in copula model selection. He also covers inference, diagnostics, model comparison, numerical methods, and algorithms for copula applications. Software and code area available on the author’s website.

Print ISBN: 978-1-4665-8322-1 eBook ISBN: 978-1-4665-8323-8 June 2014, 7 x 10, 480 pp. $89.95 / £57.99

Textbook

Textbook

Generalized Linear Mixed Models

Linear Models with R

Modern Concepts, Methods and Applications

Second Edition

Walter W. Stroup

University of Bath, UK

Julian J. Faraway

University of Nebraska-Lincoln, USA

Series: Chapman & Hall/CRC Texts in Statistical Science

Series: Chapman & Hall/CRC Texts in Statistical Science

Like its widely praised, bestselling predecessor, this second edition explains how to use linear models in physical science, engineering, social science, and business applications. The material on interpreting linear models now distinguishes the main applications of prediction and explanation and introduces elementary notions of causality. This edition also covers QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates. It extensively uses R’s ggplot2 graphics package in addition to base graphics. Figure slides are available upon qualifying course adoption.

With numerous examples using SAS® PROC GLIMMIX, this text presents an introduction to linear modeling using the generalized linear mixed model as an overarching conceptual framework. For students new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider. Data for all exercises and SAS files for all examples are available on the book’s CRC Press web page.

Print ISBN: 978-1-4398-1512-0 eBook ISBN: 978-1-4665-5587-7 September 2012, 7 x 10, 555 pp. $93.95 / £59.99

Multilevel Modeling Using R W. Holmes Finch, Jocelyn E. Bolin, and Ken Kelley Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

This book provides a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. The book concludes with Bayesian fitting of multilevel models.

Print ISBN: 978-1-4665-1585-7 eBook ISBN: 978-1-4665-1586-4 June 2014, 6-1/8 x 9-1/4, 230 pp., Paperback $49.95 / £31.99

Print ISBN: 978-1-4398-8733-2 eBook ISBN: 978-1-4822-5641-3 July 2014, 6-1/8 x 9-1/4, 286 pp. $89.95 / £57.99

Data Analysis and Approximate Models Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis Laurie Davies University of Duisburg-Essen, Germany Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book provides one of the first accounts of statistical analysis and inference based on approximate models. Developed by the author, this approach consistently treats models as approximations to data, not to some underlying truth. The author develops a concept of approximation for probability models with applications to discrete data, location scale, ANOVA, nonparametric regression, image analysis, densities, time series, and model choice. He also offers a critique of statistics that covers likelihood, Bayesian statistics, sufficient statistics, efficiency, asymptotics, and model choice.

Print ISBN: 978-1-4822-1586-1 eBook ISBN: 978-1-4822-1587-8 July 2014, 6-1/8 x 9-1/4, 320 pp. $99.95 / £63.99

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Statistical Theory & Methods Bayesian Inference for Partially Identified Models

Textbook

Exploring the Limits of Limited Data

Introduction to Multivariate Analysis

Paul Gustafson

Linear and Nonlinear Modeling

University of British Columbia, Vancouver, Canada Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts.

Drawing on his many years of research in this area, the author presents a thorough overview of the statistical theory, properties, and applications of PIMs. He covers a range of PIMs, including models for misclassified data and models involving instrumental variables. He also includes real data applications of PIMs that have recently appeared in the literature.

Print ISBN: 978-1-4398-6939-0 March 2015, 6-1/8 x 9-1/4, 189 pp. $89.95 / £57.99

Sadanori Konishi Chuo University, Tokyo, Japan Series: Chapman & Hall/CRC Texts in Statistical Science

This text shows how to use multivariate analysis to extract useful information from multivariate data and understand the structure of random phenomena. Along with the basic concepts of various procedures in traditional multivariate analysis, the book covers nonlinear techniques for clarifying phenomena behind observed multivariate data. It primarily focuses on regression modeling, classification, discrimination, dimension reduction, and clustering. Many examples and figures throughout facilitate a deep understanding of the multivariate analysis techniques, including how to select the optimal model.

Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-6728-3 eBook ISBN: 978-1-4822-5621-5 June 2014, 6-1/8 x 9-1/4, 338 pp. $89.95 / £57.99

Multivariate Bonferroni-Type Inequalities

Textbook

Nonlinear Time Series Theory, Methods, and Applications with R Examples

Theory and Applications

Randal Douc, Eric Moulines, and David Stoffer

Bowling Green State University, Ohio, USA

Series: Chapman & Hall/CRC Texts in Statistical Science

This book presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade. The emergence of new bounding approaches pushes the conventional definitions of optimal inequalities and demands new insights into linear and Fréchet optimality.

The book explores these advances in bounding techniques with corresponding innovative applications. It presents the method of linear programming for multivariate bounds, multivariate hybrid bounds, sub-Markovian bounds, and bounds using Hamilton circuits.

This text emphasizes nonlinear models for a course in time series analysis. The authors cover functional autoregressive, ARCH, threshold AR, and discrete time series models as well as several complementary approaches. They discuss the main limit theorems for Markov chains, useful inequalities, statistical techniques to infer model parameters, and GLMs. Moving on to HMM models, the book examines filtering and smoothing, parametric and nonparametric inference, advanced particle filtering, and numerical methods for inference. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-0225-3 eBook ISBN: 978-1-4822-2878-6 January 2014, 6-1/8 x 9-1/4, 551 pp. $99.95 / £63.99

Models for Dependent Time Series Granville Tunnicliffe Wilson, Marco Reale, and John Haywood Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Authored by leading researchers in multivariate time series, this book introduces time series models based on lagged regression, particularly vector autoregressive models. It extends recent developments, such as graphical modeling and generalized lag models, to the important case of irregularly sampled time series. It also demonstrates the practical value of cross-spectral analysis in modeling lagged dependence. The book presents many examples and applications taken from a range of disciplines, including econometrics, finance, marketing, biometrics, and environmetrics. Software and datasets are available for download online.

Print ISBN: 978-1-58488-650-1 June 2015, 6-1/8 x 9-1/4, 352 pp. $89.95 / £57.99

John Chen

Print ISBN: 978-1-4665-1843-8 eBook ISBN: 978-1-4665-1845-2 July 2014, 6-1/8 x 9-1/4, 302 pp. $99.95 / £63.99

Quasi-Least Squares Regression Justine Shults University of Pennsylvania, Philadelphia, USA

Joseph M. Hilbe California Institute of Technology, Pasadena, and Arizona State University, Tempe, USA Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book provides a thorough treatment of QLS regression—a computational approach for the estimation of correlation parameters within the framework of GEEs. Special focus is given to goodness-of-fit analysis as well as new strategies for selecting the appropriate working correlation structure for QLS and GEE. A fully worked out example leads readers from model building and interpretation to the planning stages for a future study. Code in the text or on the book’s website enables readers to replicate many of the examples in Stata, R, SAS, or MATLAB®.

Print ISBN: 978-1-4200-9993-5 eBook ISBN: 978-1-4200-9994-2 January 2014, 6-1/8 x 9-1/4, 221 pp. $89.95 / £57.99

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Statistical Theory & Methods Handbook of Mixed Membership Models and Their Applications

Handbook of Discrete-Valued Time Series

Edited by

Edited by

Edoardo M. Airoldi, David M. Blei, Elena A. Erosheva, and Stephen E. Fienberg

Richard A. Davis, Scott H. Holan, Robert Lund, and Nalini Ravishanker

Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Incorporating more than 20 years of the editors’ and contributors’ statistical work in mixed membership modeling, this handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology. Through examples using real data sets, readers will discover how to characterize complex multivariate data in a range of areas.

The analysis of discrete-valued time series encompasses a broad array of methodologies for dealing with the temporal dependencies that arise in modeling discrete data. This book covers an extensive set of approaches motivated by a broad and diverse set of application areas, including epidemiology, business, genetics, and the environmental and ecological sciences. Providing a comprehensive, coherent, and unified overview of the subject, it contains rigorously edited chapters from leading researchers and gives a balanced treatment of theory and applications with numerous case studies and examples.

Print ISBN: 978-1-4665-0408-0 eBook ISBN: 978-1-4665-0409-7 November 2014, 7 x 10, 618 pp. $119.95 / £76.99

Print ISBN: 978-1-4665-7773-2 September 2015, 7 x 10, 432 pp. $119.95 / £76.99

Handbook of Missing Data Methodology

Nonparametric Statistical Methods Using R

Edited by

John Kloke

Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, and Geert Verbeke

University of Pittsburgh, Pennsylvania, USA

Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Chapman & Hall/CRC The R Series

This handbook presents many methodological advances and the latest applications of missing data methods in empirical research. It outlines a general taxonomy of missing data mechanisms and their implications for analysis and describes alternatives for estimating models when data are missing.

The book covers a range of approaches that assess the sensitivity of inferences to alternative assumptions about the missing data process. It also discusses how to handle missing data in clinical trials and sample surveys.

Joseph W. McKean Western Michigan University, Kalamazoo, USA

This book covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm, which are available on CRAN. Each chapter includes exercises, making the book suitable for an undergraduate or graduate course.

Print ISBN: 978-1-4398-5461-7 November 2014, 7 x 10, 600 pp. $99.95 / £63.99

Print ISBN: 978-1-4398-7343-4 eBook ISBN: 978-1-4398-7344-1 October 2014, 6-1/8 x 9-1/4, 287 pp. $79.95 / £49.99

Handbook of Design and Analysis of Experiments

Measuring Statistical Evidence Using Relative Belief

Edited by

Michael Evans

Angela Dean, Max Morris, John Stufken, and Derek Bingham

Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Most approaches to statistical inference refer to the evidence of something being true or false. But no theory exists that defines what this evidence is as an explicit quantity, which can lead to a lack of confidence in the conclusions. This book presents a theory of statistical inference based on a definition of statistical evidence via “relative belief.” It offers a new framework for conducting statistical analyses in important practical problems. The book outlines the problems of statistical inference, discusses the theory in detail, and provides examples of its application.

This handbook presents a comprehensive, carefully edited collection of chapters that explore the state of the art in the theory and applications of designed experiments and their analyses. Divided into seven parts, the book covers the history and general principles, designs for linear models, fractional factorial designs, optimal designs, computer experiments, issues that span various fields, and designs for the latest applications. Balancing coverage of methodology and applications, it is accessible to graduate students and new researchers needing an overview of the area.

Print ISBN: 978-1-4665-0433-2 June 2015, 7 x 10, 984 pp. $119.95 / £76.99

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Print ISBN: 978-1-4822-4279-9 June 2015, 6-1/8 x 9-1/4, 248 pp. $89.95 / £57.99

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Statistical Theory & Methods Stochastic Analysis for Gaussian Random Processes and Fields With Applications

Robust Response Surfaces, Regression, and Positive Data Analyses

Vidyadhar S. Mandrekar

Rabindra Nath Das

Michigan State University, East Lansing, USA

The University of Burdwan, India

Leszek Gawarecki

Showing how robust response surface methodology (RRSM) can overcome the limitations of RSM, this book presents RRS designs, along with the relevant regression and positive data analysis techniques. It explains how to use RRSM in experimental designs and regression analysis and addresses problems of RRS designs, such as rotatability, slope-rotatability, weak rotatability, and optimality. The author illustrates the concepts and methods with real examples of lifetime responses, resistivity, replicated measures, and more.

Kettering University, Flint, Michigan, USA Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book discusses the problem of Skorokhod integral, Malliavin derivative, filtering, equivalence and singularity of Gaussian measures, Markov random fields, and the Dynkin isomorphism theorem and its converse. The book covers the theory of reproducing kernel Hilbert space. It derives applications to finance; prediction and kriging; the recent results of Kruk, Russo, and Tudor on Malliavin calculus; a generalization of the Girsanov theorem; and the results of Nelson, Röckner, and Dynkin on Markov fields.

Print ISBN: 978-1-4987-0781-7 July 2015, 6-1/8 x 9-1/4, 200 pp. $99.95 / £63.99

Print ISBN: 978-1-4665-0677-0 eBook ISBN: 978-1-4665-0680-0 May 2014, 7 x 10, 336 pp. $89.95 / £57.99

Introduction to High-Dimensional Statistics

Robust Cluster Analysis and Variable Selection

Christophe Giraud

Gunter Ritter

Paris Sud University, Laboratoire de Mathématiques d’Orsay, and École Polytechnique, Centre de Mathématiques Appliquées, Palaiseau, France

Universitat Passau, Germany

Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This guide presents state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book exposes readers to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. This highly accessible text describes the challenges related to the analysis of high-dimensional data; covers cutting-edge statistical methods, including model selection, sparsity and the lasso, aggregation, and learning theory; and provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite.

Print ISBN: 978-1-4822-3794-8 eBook ISBN: 978-1-4822-3795-5 December 2014, 6-1/8 x 9-1/4, 270 pp. $69.95 / £44.99

Robust Methods for Data Reduction

Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Although there are many books on clustering, relatively few are well founded in the theoretical aspects. This book presents an overview of the theory and applications of probabilistic clustering and variable selection, synthesizing the key research results of the last 50 years. It includes all the important theoretical details and covers the probabilistic models and inference, robustness issues, optimization algorithms, validation techniques, and variable selection methods.

The book illustrates the different methods with simulated data and applies them to real-world data sets that can be easily downloaded online.

Print ISBN: 978-1-4398-5796-0 eBook ISBN: 978-1-4398-5797-7 September 2014, 7 x 10, 392 pp. $99.95 / £63.99

Textbook

Design and Analysis of Experiments with R

Alessio Farcomeni Sapienza University of Rome, Italy

John Lawson

Luca Greco

Brigham Young University, Provo, Utah, USA

University of Sannio, Benevento, Italy

Series: Chapman & Hall/CRC Texts in Statistical Science

This book gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications.

The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, double clustering, and discriminant analysis. Using real examples, the authors show how to implement the procedures in R. The code and data for the examples are available on the book’s CRC Press web page.

This text presents a unified treatment of experimental designs and design concepts commonly used in practice.

It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results. R code is used to create and analyze all the example experiments, with the code examples available on the author’s website.

Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-9062-5 April 2015, 6-1/8 x 9-1/4, 294 pp. $99.95 / £63.99

Print ISBN: 978-1-4398-6813-3 eBook ISBN: 978-1-4398-6814-0 December 2014, 6-1/8 x 9-1/4, 620 pp. $99.95 / £63.99

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9

Statistical Theory & Methods / Biostatistics & Epidemiology Sequential Analysis

Textbook

Hypothesis Testing and Changepoint Detection

James R. Kirkwood

Alexander Tartakovsky, Igor Nikiforov, and Michele Basseville Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book covers the theoretical developments and applications of sequential hypothesis testing and sequential quickest changepoint detection in a wide range of engineering and environmental domains. It reviews recent accomplishments in hypothesis testing and changepoint detection in both decision-theoretic (Bayesian) and non-decision-theoretic (nonBayesian) contexts. The authors not only emphasize traditional binary hypotheses but also substantially more difficult multiple decision problems. They treat conventional i.i.d. and general non-i.i.d. stochastic models in detail, including Markov, hidden Markov, state-space, regression, and autoregression models.

Markov Processes Sweet Briar College, Virginia, USA Series: Advances in Applied Mathematics

This text fills a niche between a calculus-based probability course and a stochastic processes course typically taken by upper undergraduate students. While Markov processes are touched on in probability courses, this book offers the opportunity to concentrate on the topic when additional study is required.

It discusses how Markov processes are applied in a number of fields, including economics, physics, and mathematical biology.

Print ISBN: 978-1-4822-4073-3 February 2015, 6-1/8 x 9-1/4, 340 pp. $79.95 / £49.99

Print ISBN: 978-1-4398-3820-4 eBook ISBN: 978-1-4398-3821-1 August 2014, 7 x 10, 603 pp. $99.95 / £63.99

Visualization and Verbalization of Data

Pareto Distributions

Edited by

Barry C. Arnold

Jorg Blasius

University of California, Riverside, USA Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

University of Bonn, Germany

Michael Greenacre Universitat Pompeu Fabra, Barcelona, Spain Series: Chapman & Hall/CRC Computer Science & Data Analysis

This volume shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications. Examples include the spatial visualization of multivariate data, cluster analysis in computer science, the transformation of a textual data set into numerical data, the use of quantitative and qualitative variables in multiple factor analysis, and more.

Print ISBN: 978-1-4665-8980-3 eBook ISBN: 978-1-4665-8981-0 April 2014, 6-1/8 x 9-1/4, 392 pp. $109.95 / £69.99

Stochastic Partial Differential Equations Second Edition Pao-Liu Chow Wayne State University, Detroit, Michigan, USA

This book covers basic theory as well as computational and analytical techniques to solve physical, biological, and financial problems. This second edition incorporates new material concerning stochastic PDEs driven by Lévy-type noise. It includes new sections on stochastic differential equations of Lévy type as well as stochastic parabolic, hyperbolic, and evolution equations with Poisson noise. This edition also provides new applications of stochastic PDEs to population biology and finance and an updated section on parabolic equations and related elliptic problems in Gauss–Sobolev spaces.

Print ISBN: 978-1-4665-7955-2 eBook ISBN: 978-1-4665-7957-6 December 2014, 6-1/8 x 9-1/4, 334 pp. $99.95 / £63.99

10

Second Edition

This book provides broad, up-to-date coverage of the Pareto model and its extensions. This edition expands several chapters to accommodate recent results and reflect the increased use of more computer-intensive inference procedures. It includes new material on multivariate inequality and new discussions of bivariate and multivariate income and survival models. This edition also explores recent ways of handling the problems of inference for Pareto models and their generalizations and extensions.

Print ISBN: 978-1-4665-8484-6 March 2015, 6-1/8 x 9-1/4, 456 pp. $89.95 / £57.99

Textbook

Basic Statistics and Pharmaceutical Statistical Applications Third Edition James E. De Muth University of Wisconsin–Madison, USA Series: Pharmacy Education

This popular text covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and inferential statistics for problem solving.

Incorporating new material in virtually every chapter, this third edition now provides information on software applications to assist with evaluating data.

It dispels some of the anxiety associated with using basic statistical tests in the pharmacy profession and helps students correctly interpret their results using statistical software. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-9673-3 eBook ISBN: 978-1-4665-9676-4 April 2014, 6-1/8 x 9-1/4, 847 pp. $89.95 / £57.99

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Biostatistics & Epidemiology Design and Analysis of Cross-Over Trials

Clinical Trial Biostatistics and Biopharmaceutical Applications

Third Edition

Edited by

Walter R. Young

Byron Jones

Pfizer (Retired)

Novartis Pharma AG, Basel, Switzerland

Ding-Geng (Din) Chen

Michael G. Kenward London School of Hygiene and Tropical Medicine, UK

University of Rochester, New York, USA

Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

With contributions from leaders in the biostatistical community, this book presents novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications from the pharmaceutical industry. It covers emerging issues in clinical trial design and analysis, adaptive clinical trial designs, oncology clinical trials, multiple testing, and the use of biomarkers. Many real examples and case studies from drug development and cancer research illustrate the models and methods. R is also used to implement the procedures.

This third edition contains new chapters on re-estimating sample size when testing for average bioequivalence, fitting a nonlinear dose response function, estimating a dose to take forward from phase two to phase three, establishing proof of concept, and recalculating the sample size using conditional power. It employs the specially created R package Crossover, includes updates regarding period baselines and data analysis from very small trials, reflects the availability of new procedures in SAS, and presents proc mcmc as an alternative to WinBUGS for Bayesian analysis.

Print ISBN: 978-1-4398-6142-4 eBook ISBN: 978-1-4398-6143-1 October 2014, 6-1/8 x 9-1/4, 438 pp. $99.95 / £63.99

Print ISBN: 978-1-4822-1218-1 eBook ISBN: 978-1-4822-1219-8 November 2014, 6-1/8 x 9-1/4, 580 pp. $119.95 / £76.99

Design & Analysis of Clinical Trials for Economic Evaluation & Reimbursement

Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

An Applied Approach Using SAS & STATA

Chul Ahn, Moonseoung Heo, and Song Zhang

Iftekhar Khan

Series: Chapman & Hall/CRC Biostatistics

University College London, UK

This book explains how to determine sample size for studies with correlated outcomes, which are widely implemented in medical, epidemiological, and behavioral studies.

For clustered studies, the authors provide sample size formulas that account for variable cluster sizes and within-cluster correlation. For longitudinal studies, they present sample size formulas that account for withinsubject correlation among repeated measurements and various missing data patterns. For multiple levels of clustering, the authors describe how randomization impacts trial administration, analysis, and sample size requirement.

Series: Chapman & Hall/CRC Biostatistics

This guide explains how to apply health economic evaluation techniques to both clinical trial and non-clinical trial data. Through a simple, applied approach using examples and SAS software, the book helps statisticians and researchers in health economics assess cost-effectiveness. It covers trial design, case report form design, quality of life measures, sample sizes, submissions to regulatory authorities for reimbursement, Markov models, cohort models, and decision trees. Examples and case studies are provided at the end of each chapter.

Print ISBN: 978-1-4665-0547-6 October 2015, 6-1/8 x 9-1/4, 200 pp. $79.95 / £49.99

Textbook

Statistical Design and Analysis of Clinical Trials

Print ISBN: 978-1-4665-5626-3 eBook ISBN: 978-1-4665-5627-0 December 2014, 6-1/8 x 9-1/4, 260 pp. $89.95 / £57.99

Noninferiority Testing in Clinical Trials Issues and Challenges

Principles and Methods

Tie-Hua Ng

Weichung Joe Shih and Joseph Aisner

Series: Chapman & Hall/CRC Biostatistics

Series: Chapman & Hall/CRC Biostatistics

Requiring no prior knowledge of NI testing, this book explains how to choose the NI margin as a small fraction of the therapeutic effect of the active control in a clinical trial. It discusses issues with estimating the effect size based on historical placebo control trials of the active control. The author covers basic concepts related to NI trials, such as assay sensitivity, constancy assumption, discounting, and preservation. He also describes patient populations, three-arm trials, and the equivalence of three or more groups.

This text is designed for second- and third-year graduate students in public health settings. Organized based on a 15week course, the book provides lecture material, in-class exercises, and homework problems in each chapter. The text balances the coverage of concepts and methods to suit students in biostatistics, clinical epidemiology, and health systems and policy. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-5049-7 August 2015, 6-1/8 x 9-1/4, 232 pp. $79.95 / £49.99

Print ISBN: 978-1-4665-6149-6 eBook ISBN: 978-1-4665-6150-2 December 2014, 6-1/8 x 9-1/4, 208 pp. $79.95 / £49.99

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11

Biostatistics & Epidemiology Statistical Methods in Drug Combination Studies

Statistical Methods for Drug Safety

Edited by

Robert D. Gibbons

Wei Zhao and Harry Yang

University of Chicago, Illinois, USA

MedImmune, LLC, Gaithersburg, Maryland, USA

Anup Amatya

Series: Chapman & Hall/CRC Biostatistics

New Mexico State University, Las Cruces, USA

This reference covers all aspects of drug combination research, from designing in vitro drug combination studies to analyzing clinical trial data. Featuring contributions from researchers in industry, academia, and regulatory agencies, this balanced book provides researchers with a solid understanding of the available statistical methods and computational tools and how to apply them in drug combination studies. The book is equally useful for statisticians to become better equipped to deal with drug combination study design and analysis in their practice.

Print ISBN: 978-1-4822-1674-5 eBook ISBN: 978-1-4822-1675-2 December 2014, 6-1/8 x 9-1/4, 240 pp. $99.95 / £63.99

Series: Chapman & Hall/CRC Biostatistics

This text presents an overview of methods for the analysis of pharmacoepidemiological data, with a strong emphasis on the application of these methods to problems in pharmacovigilance and drug safety. In non-technical language, it covers specialized statistical procedures that are particularly useful for analyzing drug safety data. Designed for practitioners, the book illustrates the methods using multiple datasets from the adverse events reporting system database, meta-analysis from randomized clinical trials, analysis of large-scale medical claims databases, and analysis of population-level ecological data.

Print ISBN: 978-1-4665-6184-7 July 2015, 6 x 9, 328 pp. $99.95 / £63.99

Handbook of Bioequivalence Testing

Immunogenicity Assessment in Biopharmaceutical Development

Second Edition

Harry Yang, Wei Zhao, Binbing Yu, and Jianchun Zhang

Sarfaraz K. Niazi Pharmaceutical Scientist Inc., Deerfield, Illinois, USA Series: Drugs and the Pharmaceutical Sciences

In recent years, there have been significant changes to the statistical models for evaluating bioequivalence. In addition, advances in the analytical technology used to detect drug and metabolite levels have made bioequivalence testing more complex.

This second edition has been completely updated to include the most current information available, including new findings in drug delivery and dosage form design and revised worldwide regulatory requirements. The book explores the future of bioequivalence testing and proposes radical changes in the process of biowaivers.

Print ISBN: 978-1-4822-2637-9 eBook ISBN: 978-1-4822-2638-6 October 2014, 7 x 10, 1007 pp. $189.95 / £127.00

Quantitative Evaluation of Safety in Drug Development

MedImmune, LLC, Gaithersburg, Maryland, USA Series: Chapman & Hall/CRC Biostatistics

Biotechnology-derived therapeutics, including monoclonal antibodies, proteins, and peptides, hold great promise for treating various diseases such as cancer and inflammatory diseases. However, biopharmaceutical products can lead to immunogenic responses, resulting in formation of anti-drug antibodies.

Immune responses to non-vaccine biologics have the potential to negatively affect both patient safety and product efficacy. This book provides a single source of information on statistical concept, principles, methods, and strategies for detection, quantification, assessment, and control of immunogenicity.

Print ISBN: 978-1-4987-0034-4 August 2015, 6-1/8 x 9-1/4, 200 pp. $89.95 / £57.99

Exposure-Response Modeling

Design, Analysis and Reporting

Recent Developments and Practical Implementation

Edited by

Jixian Wang

Qi Jiang and H. Amy Xia

Series: Chapman & Hall/CRC Biostatistics

Amgen Inc, Thousand Oaks, California, USA

With numerous examples, this book presents practical statistical approaches for modeling exposure-response relationships. Although the book focuses on topics in pharmacokinetics and pharmacodynamics, it also covers general exposure-response modeling, such as the exposure-risk relationship in drug safety and epidemiology. The book requires graduate-level knowledge of statistics as well as basic programming skills with R/Splus or SAS.

Series: Chapman & Hall/CRC Biostatistics

Written by a team of experienced leaders, this book brings the most advanced knowledge and statistical methods of drug safety to the statistical, clinical, and safety community. It explains design, monitoring, analysis, and reporting issues for both clinical trials and observational studies in biopharmaceutical product development. The book addresses key challenges across regulatory agencies, industry, and academia. It discusses quantitative approaches to safety evaluation and risk management in drug development, covering Bayesian methods, effective safety graphics, and riskbenefit evaluation.

Print ISBN: 978-1-4665-7320-8 July 2015, 6-1/8 x 9-1/4, 330 pp. $89.95 / £57.99

Print ISBN: 978-1-4665-5545-7 eBook ISBN: 978-1-4665-5547-1 December 2014, 6-1/8 x 9-1/4, 382 pp. $99.95 / £63.99

12

For more information and complete contents, visit www.crcpress.com

Biostatistics & Epidemiology Adaptive Design Theory and Implementation Using SAS and R

Textbook

Second Edition

Modelling Survival Data in Medical Research

Mark Chang

Third Edition

AMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA Series: Chapman & Hall/CRC Biostatistics

David Collett UK Transplant, Bristol

Covering even more adaptive designs, this second edition offers a detailed framework to understand the use of various adaptive design methods in clinical trials. It includes 12 new chapters, more analytical methods, 20 new SAS macros and R functions, and enhanced end-of-chapter problems that give readers hands-on practice addressing issues encountered in designing real-life adaptive trials. The book compares various methods using SAS and R simulations and explains how to analyze data in adaptive trials.

Print ISBN: 978-1-4822-5659-8 eBook ISBN: 978-1-4822-5660-4 December 2014, 6-1/8 x 9-1/4, 706 pp. $99.95 / £63.99

Series: Chapman & Hall/CRC Texts in Statistical Science

This popular textbook presents modern statistical techniques for handling survival data. This edition contains new chapters on frailty models and their applications, competing risks, nonproportional hazards, and dependent censoring. It also describes techniques for modeling the occurrence of multiple events and event history analysis. Earlier chapters include new material on a number of topics, including measures of predictive ability and flexible parametric models. Many new data sets and examples illustrate how the techniques are used in modeling survival data. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-5678-9 eBook ISBN: 978-1-4398-5679-6 December 2014, 6-1/8 x 9-1/4, 548 pp. $79.95 / £44.99

Adaptive Designs for Sequential Treatment Allocation

Data Analysis with Competing Risks and Intermediate States

Alessandro Baldi Antognini and Alessandra Giovagnoli

Ronald Geskus Series: Chapman & Hall/CRC Texts in Statistical Science

University of Bologna, Italy Series: Chapman & Hall/CRC Biostatistics

This book presents a rigorous theoretical treatment of the results and mathematical foundation of adaptive design theory. The authors introduce the statistical models most commonly used in comparative experiments. They then illustrate biased coin and urn designs that only take into account past treatment allocations as well as designs that use past data, such as sequential maximum likelihood and doubly adaptive designs. The book also covers multipurpose adaptive experiments involving utilitarian choices and ethical issues and discusses covariate-adaptive methods.

Print ISBN: 978-1-4665-0575-9 April 2015, 6-1/8 x 9-1/4, 216 pp. $79.95 / £49.99

This practical book helps biomedical and epidemiological researchers extend their knowledge and skills in the analysis of standard time-to-event data to the competing risks setting. The author explains the main concepts that play a role in competing risks analyses, including the independence assumption with respect to censoring and truncation, causespecific cumulative incidence, and competing risks as the simplest form of a multistate model. Analyses can be performed using the survival R package.

Print ISBN: 978-1-4665-7035-1 July 2015, 6-1/8 x 9-1/4, 200 pp. $79.95 / £49.99

Introductory Adaptive Trial Designs

Empirical Likelihood Method in Survival Analysis

A Practical Guide with R

Mai Zhou University of Kentucky, Lexington, USA

Mark Chang AMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA Series: Chapman & Hall/CRC Biostatistics

Instead of providing black box-like general commercial software packages, this tutorial-style book develops the R functions and algorithms necessary to customize adaptive designs to meet their needs. Designed as a practical, tutorial-style resource, the book provides a 30-minute R tutorial and includes simulations for all examples.

Print ISBN: 978-1-4987-1746-5 June 2015, 6-1/8 x 9-1/4, 232 pp. $79.95 / £49.99

Series: Chapman & Hall/CRC Biostatistics

Empirical likelihood is a powerful nonparametric inference approach in statistical literature. One of the most promising applications of the empirical likelihood method is survival analysis. This book systematically develops the empirical likelihood method with hazard and other parameters with censored data. The book covers the regression models that include the Cox proportional hazards regression, the AFT models, and a semiparametric accelerated failure time model.

Print ISBN: 978-1-4665-5492-4 June 2015, 6-1/8 x 9-1/4, 232 pp. $89.95 / £57.99

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13

Biostatistics & Epidemiology Clinical and Statistical Considerations in Personalized Medicine

Mixed Effects Models for the Population Approach

Edited by

Marc Lavielle

Claudio Carini, Sandeep Menon, and Mark Chang

INRIA Saclay, Orsay, France

Models, Tasks, Methods and Tools

Series: Chapman & Hall/CRC Biostatistics

Series: Chapman & Hall/CRC Biostatistics

Despite the vast amount of literature on biomarkers, there is no comprehensive book that integrates the clinical and statistical components. This book is one of the first to incorporate both the clinical and statistical aspects of biomarkers in the personalized medicine paradigm. Leading clinicians, biostatisticians, regulators, commercial professionals, and researchers address the opportunities and challenges in successfully applying biomarkers in drug discovery and preclinical and clinical development. They cover a wide spectrum of personalized medicinerelated topics, including epigenetics, adaptive designs, statistical methods, regulatory issues, and more.

This book provides wide-ranging coverage of parametric modeling in linear and nonlinear mixed effects models. It presents a rigorous approach for describing, implementing, and using mixed effects models. With these models, readers can perform parameter estimation and modeling across a whole population of individuals at the same time. The book takes readers through the whole modeling process, from defining/creating a parametric model to performing tasks on the model using various mathematical methods. Numerous examples illustrate how to implement the models using the Monolix software.

Print ISBN: 978-1-4665-9386-2 eBook ISBN: 978-1-4665-9387-9 March 2014, 6-1/8 x 9-1/4, 376 pp. $89.95 / £57.99

Print ISBN: 978-1-4822-2650-8 eBook ISBN: 978-1-4822-2651-5 July 2014, 6-1/8 x 9-1/4, 383 pp. $89.95 / £57.99

Design and Analysis of Clinical Trials for Predictive Medicine

Bayesian Methods for Repeated Measures

Edited by

Lyle D. Broemeling

Shigeyuki Matsui, Marc Buyse, and Richard Simon

Broemeling and Associates, Medical Lake, Washington, USA

Series: Chapman & Hall/CRC Biostatistics

Series: Chapman & Hall/CRC Biostatistics

This book offers statistical guidance on conducting clinical trials for predictive medicine. It covers statistical topics relevant to the main clinical research phases for developing molecular diagnostics and therapeutics. The book explains how to identify molecular biomarkers using DNA microarrays, validate the developed biomarkers, and confirm their clinical utility in randomized clinical trials.

This book introduces a Bayesian approach to repeated measures and includes WinBUGS code. It covers diagnostic procedures for repeated measures along with a complete treatment of missing data. The book uses a multinomial model to analyze binary and count data and the more general regression model for categorical data. In addition, the author reviews regression techniques, repeated measures for quantitative response, how to model the mean and correlation for continuous data, and models for the mean profile of a subject.

Print ISBN: 978-1-4665-5815-1 March 2015, 6-1/8 x 9-1/4, 400 pp. $99.95 / £63.99

Print ISBN: 978-1-4822-4819-7 August 2015, 6-1/8 x 9-1/4, 480 pp. $119.95 / £76.99

Textbook

Textbook

Inference Principles for Biostatisticians

Epidemiology

Ian C. Marschner

Study Design and Data Analysis, Third Edition

Series: Chapman & Hall/CRC Biostatistics

Mark Woodward

This text gives graduate students across the health, medical, social, and mathematical sciences a solid, unified foundation in the principles of statistical inference.

Drawing on his extensive experience teaching graduatelevel biostatistics courses and working in the pharmaceutical industry, the author covers the theoretical underpinnings essential to understanding subsequent core methodologies in the field. Extended examples illustrate key concepts in depth using a specific biostatistical context. Simple R functions are provided for conducting simulation studies. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-2223-4 eBook ISBN: 978-1-4822-2225-8 December 2014, 6-1/8 x 9-1/4, 274 pp. $79.95 / £49.99

14

University of Oxford, UK; University of Sydney, Australia; and Johns Hopkins University, Baltimore, Maryland, USA Series: Chapman & Hall/CRC Texts in Statistical Science

Updated and expanded, this popular text shows students how statistical principles and techniques can help solve epidemiological problems.

Along with more exercises and examples using both Stata and SAS, this third edition includes a new chapter on risk scores and clinical decision rules, a new chapter on computer-intensive methods, and new sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines.

Supporting materials are available on the book’s CRC Press web page. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-3970-6 eBook ISBN: 978-1-4398-3971-3 December 2013, 7 x 10, 854 pp. $99.95 / £49.99

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Biostatistics & Epidemiology / Computational Statistics Writing Dissertation and Grant Proposals

Textbook

Epidemiology, Preventive Medicine and Biostatistics

Spatio-Temporal Methods in Environmental Epidemiology Gavin Shaddick and James V. Zidek

Lisa Chasan-Taber

Series: Chapman & Hall/CRC Texts in Statistical Science

University of Massachusetts, Amherst, USA

This book explores the interface between environmental epidemiology (EE) and spatio-temporal modeling. It provides the necessary background material in EE and then develops the spatio-temporal theory, primarily Bayesian hierarchical modeling, necessary to study EE problems. The text includes many detailed worked examples with R software and other computational tools, such as WinBUGS and INLA. Each chapter has exercises and lab projects to enable use for self-study or as a course text. Figure slides are available upon qualifying course adoption.

This text targets effective grant proposal writing in epidemiology, preventive medicine, and biostatistics. It provides summary checklists and step-by-step guidelines for grant structure and style, critical do’s and don’ts that aid in writing solid grant proposals, and broader strategies for developing a research funding portfolio.

Written by an established NIH reviewer with an impressive track record of funding, the book demonstrates proven tactics with extensive examples from successfully funded proposals. It serves as a virtual cookbook of the ingredients needed to construct a winning grant proposal.

Print ISBN: 978-1-4665-1206-1 eBook ISBN: 978-1-4665-1207-8 April 2014, 6-1/8 x 9-1/4, 448 pp., Paperback $59.95 / £38.99

Mendelian Randomization

Print ISBN: 978-1-4822-3703-0 August 2015, 6-1/8 x 9-1/4, 350 pp. $89.95 / £57.99

Methods for Using Genetic Variants in Causal Estimation

Methods in Brain Connectivity Inference through Multivariate Time Series Analysis

Stephen Burgess

Edited by

MRC Biostatistics Unit, Cambridge, UK

Koichi Sameshima and Luiz Antonio Baccala

Simon G. Thompson

University of São Paulo, Brazil

University of Cambridge, UK Series: Chapman & Hall/CRC Interdisciplinary Statistics

This book provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. With many real-world examples, it makes the diverse aspects of the field understandable to newcomers.

The book shows how to perform simple applied Mendelian randomization analyses and interpret their results. It also addresses specific methodological issues relevant to practical applications of Mendelian randomization and examines the potential of Mendelian randomization in the future. Software code and other materials are available on a supplementary website.

Print ISBN: 978-1-4665-7317-8 eBook ISBN: 978-1-4665-7318-5 February 2015, 6-1/8 x 9-1/4, 224 pp. $59.95 / £38.99

Series: Frontiers in Neuroengineering

Incorporating multidisciplinary work in applied mathematics, statistics, and animal and human experiments at the forefront of the field, this volume addresses the use of time series data in brain connectivity interference studies. Contributors present codes and data examples to back up their methodological descriptions, exploring the details of each proposed method as well as the appreciation of their merits and limitations. The included CD provides code, data, practical examples, and color figures, with directories organized by chapter and instruction files that offer additional detail.

Print ISBN: 978-1-4398-4572-1 eBook ISBN: 978-1-4398-4573-8 March 2014, 6-1/8 x 9-1/4, 282 pp. $159.95 / £99.00

Modeling to Inform Infectious Disease Control

Advanced R

Niels G. Becker

Series: Chapman & Hall/CRC The R Series

Australian National University, Canberra

This practical book presents useful tools and techniques for attacking many types of R programming challenges, helping readers avoid mistakes and dead ends. With more than ten years of experience programming in R, the author shows how R is well tailored for data analysis and statistics. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. It covers the fundamentals of R, functional programming, metaprogramming, the basics of C++ and Rcpp, and more.

Series: Chapman & Hall/CRC Biostatistics

Statistical modeling is increasingly used to inform infectious disease control, but the complexity of the methods can make them difficult for public health professionals to apply. This book provides an accessible and practical introduction to the modeling of infectious diseases, enabling these professionals to use the techniques for effective infectious disease management. The author keeps mathematical details to a minimum so that applied researchers can understand the methods.

Many real examples illustrate the application of the methods and exercises allow the book to be used as a course text.

Print ISBN: 978-1-4987-3106-5 May 2015, 6-1/8 x 9-1/4, 208 pp. $89.95 / £57.99

Hadley Wickham

Print ISBN: 978-1-4665-8696-3 eBook ISBN: 978-1-4665-8697-0 September 2014, 6-1/8 x 9-1/4, 476 pp., Paperback $59.95 / £38.99

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15

Computational Statistics Graphical Data Analysis with R

SAS and R

Antony Unwin

Data Management, Statistical Analysis, and Graphics, Second Edition

University of Augsburg, Germany Series: Chapman & Hall/CRC The R Series

This book focuses on why one draws graphics to display data and which graphics to draw (and uses R to do so).

Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. All the datasets are available in R or one of its packages and the R code is available online.

Color graphics are used throughout the book.

Print ISBN: 978-1-4987-1523-2 June 2015, 6-1/8 x 9-1/4, 308 pp. $69.95 / £44.99

Ken Kleinman Harvard University, Boston, Massachusetts, USA

Nicholas J. Horton Amherst College, Massachusetts, USA

Retaining the same accessible format of the popular first edition, this book explains how to easily perform an analytical task in both SAS and R. Through the extensive indexing and crossreferencing, users can directly find and implement the material they need. This edition now covers RStudio, a powerful and easy-to-use interface for R. Along with extended examples of simulations, it also incorporates a number of additional topics, including APIs, reproducible analysis tools, database management systems, MCMC methods, and finite mixture models.

Print ISBN: 978-1-4665-8449-5 eBook ISBN: 978-1-4665-8450-1 July 2014, 7 x 10, 468 pp. $79.95 / £49.99

A Handbook of Statistical Analyses using R Third Edition

Using R and RStudio for Data Management, Statistical Analysis, and Graphics

Torsten Hothorn

Second Edition

Universtität Zürich, Switzerland

Nicholas J. Horton

Brian S. Everitt Professor Emeritus, King’s College, London, UK

Like the bestselling first two editions, this third edition provides an up-to-date guide to data analysis using the R system for statistical computing. It explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis. Along with more exercises and more detailed explanations of R code, this edition includes three new chapters on quantile regression, missing values, and Bayesian inference.

An updated version of the HSAUR package (HSAUR3) is available from CRAN. Print ISBN: 978-1-4822-0458-2 eBook ISBN: 978-1-4822-0459-9 June 2014, 6-1/8 x 9-1/4, 456 pp., Paperback $64.95 / £39.99

Amherst College, Massachusetts, USA

Ken Kleinman Harvard University, Boston, Massachusetts, USA

This book covers the aspects of R most often used by statistical analysts.

Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots. It also provides a detailed discussion of the philosophy and use of the knitr and markdown packages for R. Print ISBN: 978-1-4822-3736-8 eBook ISBN: 978-1-4822-3737-5 March 2015, 7 x 10, 313 pp. $69.95 / £44.99

Introduction to Scientific Programming and Simulation Using R

Parallel Computing for Data Science

Second Edition

Norman Matloff

Owen Jones, Robert Maillardet, and Andrew Robinson

Series: Chapman & Hall/CRC The R Series

University of Melbourne, Parkville, Australia Series: Chapman & Hall/CRC The R Series

With new chapters on ODEs and Markov chains, the second edition of this highly recommended, bestselling book introduces scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data. Requiring no prior knowledge of programming or probability, the book shows them how to turn algorithms into code. It includes case studies that demonstrate the simulation techniques as well as numerous student projects and exercises.

Print ISBN: 978-1-4665-6999-7 eBook ISBN: 978-1-4665-7001-6 June 2014, 6-1/8 x 9-1/4, 606 pp. $79.95 / £49.99

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With Examples in R, C++ and CUDA University of California, Davis, USA

With a focus on multicore machines and clusters as well as GPU computing, this book covers parallel R in the broad context of the general principles of parallel computing. It gives concrete technical details on the various packages and methods of parallel computation in R, along with numerous examples of code. The book also explains general parallel programming issues, including loop scheduling, communications delays, and the implications of hardware structures on communications delays.

Print ISBN: 978-1-4665-8701-4 June 2015, 6-1/8 x 9-1/4, 328 pp. $59.95 / £38.99

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Computational Statistics Data Science in R A Case Studies Approach to Computational Reasoning and Problem Solving

Implementing Reproducible Research Edited by

Victoria Stodden, Friedrich Leisch, and Roger D. Peng

Edited by

Deborah Nolan University of California, Berkeley, USA

Series: Chapman & Hall/CRC The R Series

Duncan Temple Lang

This work covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result.

Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. Each part presents contributions from leaders who have developed software and other products that have advanced the field, including Sweave, open source software packages, and good programming practices. Supplementary material is available online.

University of California, Davis, USA Series: Chapman & Hall/CRC The R Series

This book explains the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions. The book’s collection of projects, exercises, and sample solutions encompass practical topics pertaining to data processing and analysis.

The book can be used for self-study or as supplementary reading in a statistical computing course, allowing students to gain valuable data science skills.

Print ISBN: 978-1-4822-3481-7 April 2015, 7 x 10, 554 pp., Paperback $79.95 / £49.99

Dynamic Documents with R and knitr Second Edition

Print ISBN: 978-1-4665-6159-5 eBook ISBN: 978-1-4665-6160-1 April 2014, 6-1/8 x 9-1/4, 448 pp. $79.95 / £49.99

Analyzing Baseball Data with R Max Marchi Cleveland Indians, Ohio, USA

Jim Albert

Yihui Xie

Bowling Green State University, Ohio, USA

RStudio, Ames, Iowa, USA

Series: Chapman & Hall/CRC The R Series

Series: Chapman & Hall/CRC The R Series

This practical guide provides an accessible introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis. All of the datasets and R code used in the text are available online.

Since the first edition was published, there have been some changes in the development of the knitr package as well as a few useful new features in the RStudio IDE. This new edition gives a detailed introduction on R Markdown support in the RStudio IDE and shows what readers can do with the simple markdown language due to its integration with Pandoc.

The book explains basic and advanced applications of knitr and offers the option of using R, Python, LaTeX, and other programs.

Print ISBN: 978-1-4987-1696-3 June 2015, 6-1/8 x 9-1/4, 288 pp., Paperback $69.95 / £44.99

Print ISBN: 978-1-4665-7022-1 eBook ISBN: 978-1-4665-7023-8 October 2013, 6-1/8 x 9-1/4, 334 pp., Paperback $41.95 / £26.99

Reproducible Research with R and R Studio

Using R for Numerical Analysis in Science and Engineering

Second Edition

Victor A. Bloomfield University of Minnesota, Minneapolis, USA

Christopher Gandrud Hertie School of Governance, Berlin, Germany Chapman & Hall/CRC The R Series

This book brings much of the information on reproducible research together in one accessibly written text. It presents a practical reproducible research workflow that researchers in any quantitative empirical discipline can use to gather data, analyze it, and dynamically present the results. The book gives practical instruction on how to use a number of recent technological advances as part of a reproducible research workflow.

Print ISBN: 978-1-4987-1537-9 June 2015, 6-1/8 x 9-1/4, 326 pp., Paperback $69.95 / £44.99

Chapman & Hall/CRC The R Series

This practical guide shows how to use R and its addon packages to obtain numerical solutions to complex mathematical problems commonly faced by scientists and engineers. Providing worked examples and code, the text not only addresses necessary aspects of the R programming language but also demonstrates how to produce useful graphs and statistically analyze and fit data to linear and nonlinear models. It covers Monte Carlo, stochastic, and deterministic methods and explores numerical differentiation and integration, interpolation and curve fitting, and optimization.

Print ISBN: 978-1-4398-8448-5 eBook ISBN: 978-1-4398-8449-2 April 2014, 6-1/8 x 9-1/4, 359 pp. $89.95 / £57.99

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Computational Statistics Analyzing Sensory Data with R

Linear Mixed Models

Sebastien Le

A Practical Guide Using Statistical Software, Second Edition

Agrocampus Ouest, Rennes, France

Thierry Worch Qi Statistics, Ruscombe, UK Series: Chapman & Hall/CRC The R Series

This book helps readers choose the right statistical method to analyze their sensory data. Each chapter presents the nature of the sensory evaluation and its objectives, the sensory particularities related to the sensory evaluation, details about the data set obtained, and the statistical analyses required. Using real examples, the authors then illustrate step by step how the analyses are performed in R. The chapters conclude with variants and extensions of the methods.

Print ISBN: 978-1-4665-6572-2 eBook ISBN: 978-1-4665-6573-9 October 2014, 6-1/8 x 9-1/4, 374 pp. $89.95 / £57.99

Multiple Factor Analysis by Example Using R Jérôme Pagès Agrocampus-Ouest, Rennes, France Series: Chapman & Hall/CRC The R Series

Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups.

Written by the co-developer of the methodology, this book brings together the theoretical and methodological aspects of MFA. It also covers principal component analysis, multiple correspondence analysis, factor analysis for mixed data, hierarchical MFA, and more. The book includes examples of applications and details on how to implement MFA using an R package, with the data and R scripts available online.

Print ISBN: 978-1-4822-0547-3 eBook ISBN: 978-1-4822-0548-0 November 2014, 6-1/8 x 9-1/4, 272 pp. $89.95 / £57.99

Brady T. West, Kathleen B. Welch, and Andrzej T Galecki University of Michigan, Ann Arbor, USA

The widely recommended first edition of this bestseller showed how to easily perform complex LMM analyses via a variety of software programs. This second edition continues to lead readers step by step through the process of fitting LMMs. It covers additional topics on the application of LMMs, updates the case studies using the latest versions of the software procedures, and provides up-to-date information on fitting LMMs in SAS, SPSS, Stata, R/S-plus, and HLM. Software code for the examples is available on the book’s website.

Print ISBN: 978-1-4665-6099-4 eBook ISBN: 978-1-4665-6102-1 July 2014, 7 x 10, 440 pp. $89.95 / £57.99

Regression Models for Categorical Dependent Variables Using Stata Third Edition J. Scott Long Indiana University, Bloomington, USA

Jeremy Freese Northwestern University, Evanston, Illinois, USA

This book shows how to use Stata to fit and interpret regression models for categorical data. Completely rewritten, this third edition explains how the effects of variables can be estimated and interpreted and presents a different approach to interpretation. This edition includes changes to the authors’ popular SPost commands that take advantage of the power of the margins command and the flexibility of factor-variable notation.

Print ISBN: 978-1-59718-111-2 September 2014, 6 x 9, 589 pp., Paperback $89.95 / £57.99

Displaying Time Series, Spatial, and Space-Time Data with R

An Introduction to Stata for Health Researchers

Oscar Perpinan Lamigueiro

Fourth Edition

ETSIDI-UPM, Madrid, Spain Series: Chapman & Hall/CRC The R Series

Focusing on the exploration of data with visual methods, this book presents methods and R code for producing highquality graphics of time series, spatial, and space-time data.

It illustrates how to display a dataset starting with an easy and direct approach and progressively adding improvements that involve more complexity. Practical examples using real-world datasets help readers understand how to apply the methods and code. The graphics, data, and R code are accessible from the author’s website.

Print ISBN: 978-1-4665-6520-3 eBook ISBN: 978-1-4665-6522-7 April 2014, 6-1/8 x 9-1/4, 208 pp. $79.95 / £49.99

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Svend Juul and Morten Frydenberg Aarhus University, Denmark

Updated to correspond to Stata 13, this fourth edition is now written for both Windows and Mac users. It provides improved online documentation, including further reading in online manuals. The book methodically covers data management, simple description and analysis, and more advanced analyses often used in health research, including regression models, survival analysis, and evaluation of diagnostic methods. A chapter on graphics explores most graph types and describes how to modify the appearance of a graph before submitting it for publication.

Print ISBN: 978-1-59718-135-8 March 2014, 7 3/8 x 9 1/4, 346 pp., Paperback $79.95 / £49.99

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Computational Statistics A Gentle Introduction to Stata Fourth Edition

One Hundred Nineteen Stata Tips

Alan C. Acock

Third Edition

Oregon State University, Corvallis, USA

Edited by

This book does not require a strong background in statistics or prior experience with statistical software packages. After working through the book, readers will be able to enter, build, and manage a dataset, and perform fundamental statistical analyses. The book first shows how to enter and manage data and do basic descriptive statistics and graphical analysis. It then explains how to perform standard statistical procedures, from t tests, nonparametric tests, and measures of association to ANOVA, multiple regression, and logistic regression.

Nicholas J. Cox

Print ISBN: 978-1-59718-142-6 April 2014, 7-1/4 x 9-1/4, 500 pp., Paperback $79.95 / £49.99

Print ISBN: 978-1-59718-143-3 April 2014, 7-1/2 x 9-1/4, 344 pp., Paperback $59.95 / £38.99

Bayesian Analysis with Stata

Textbook

John Thompson University of Leicester, UK

This book shows how modern analyses based on Markov chain Monte Carlo methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata’s data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.

The book emphasizes practical data analysis from the Bayesian perspective and covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of results.

Print ISBN: 978-1-59718-141-9 May 2014, 6 x 9, 302 pp., Paperback $69.95 / £44.99

Durham University, UK

H. Joseph Newton Texas A&M University, College Station, USA

One Hundred Nineteen Stata Tips provides concise and insightful notes about commands, features, and tricks that will help readers obtain a deeper understanding of Stata. The book comprises the contributions of the Stata community that have appeared in the Stata Journal since 2003.

The BUGS Book A Practical Introduction to Bayesian Analysis David Lunn, Christopher Jackson, Nicky Best, Andrew Thomas, and David Spiegelhalter Series: Chapman & Hall/CRC Texts in Statistical Science

The BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a number of worked examples, covering a wide range of applications from various disciplines. Exercises, solutions, code, and data are on a supplementary website.

Print ISBN: 978-1-58488-849-9 eBook ISBN: 978-1-58488-850-5 October 2012, 6-1/8 x 9-1/4, 399 pp., Paperback $54.95 / £27.99

Speaking Stata Graphics A Collection from the Stata Journal Nicholas J. Cox Durham University, UK

Textbook

Probability and Statistics for Computer Scientists Second Edition

Speaking Stata Graphics is ideal for researchers who want to produce effective, publication-quality graphs. A compilation of articles from the author’s popular Speaking Stata column, this book provides valuable insights about Stata’s built-in and user-written statistical-graphics commands.

Print ISBN: 978-1-59718-144-0 April 2014, 7-1/2 x 9-1/4, 362 pp., Paperback $69.95 / £44.99

Michael Baron The University of Texas at Dallas, Richardson, USA

Meeting the ABET requirements for probability and statistics, this text helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. The second edition offers a new axiomatic introduction of probability, expanded coverage of statistical inference, more exercises at the end of each chapter, and additional MATLAB® codes, particularly new commands of the Statistics Toolbox. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-7590-2 eBook ISBN: 978-1-4822-1411-6 August 2013, 7 x 10, 449 pp. $99.95 / £63.99

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Computational Statistics / Machine Learning & Data Mining A Handbook of Statistical Graphics Using SAS ODS Geoff Der

R and MATLAB David E. Hiebeler University of Maine, Orono, USA Series: Chapman & Hall/CRC The R Series

University of Glasgow, Scotland

Brian S. Everitt Professor Emeritus, King’s College, London, UK

This handbook covers essential graphical methods for statisticians and explains how to implement the methods using SAS 9.4. It shows how to use SAS’s newer ODS graphics to create many types of statistical graphics for exploring data and diagnosing fitted models. Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. The SAS programs and data sets are available online.

Print ISBN: 978-1-4665-9903-1 eBook ISBN: 978-1-4665-9904-8 August 2014, 6-1/8 x 9-1/4, 244 pp. $69.95 / £44.99

Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures Charlie Chunhua Liu Kythera, Westlake Village, California, USA

This book demonstrates how to create commonly used figures and plots with SAS/GRAPH® and ODS Graphics procedures. It provides all the details on selecting the right figure formats, options, and fonts. In-depth instructions and SAS programs using procedures in both SAS/GRAPH and ODS Graphics show how to generate sample figures in listing graphics formats and ODS document files.

Each chapter includes practical examples and SAS programs. Readers can easily modify the SAS programs to develop high-quality figures to meet their own needs.

Print ISBN: 978-1-4822-0701-9 February 2015, 6-1/8 x 9-1/4, 282 pp., Paperback $59.95 / £38.99

This self-contained reference is designed for users of either the R or MATLAB® software platforms who are familiar with one platform but are moving to the other.

The book includes examples and introduces the important concepts for each section, pointing out key differences in how MATLAB and R approach a given topic. The author pays particular attention to areas with fundamental differences between the two platforms, such as matrices, arrays, and graphics.

Print ISBN: 978-1-4665-6838-9 June 2015, 7 x 10, 232 pp. $69.95 / £44.99

Sparse Modeling Theory, Algorithms, and Applications Irina Rish IBM, Yorktown Heights, New York, USA

Genady Grabarnik St. John’s University, Queens, New York, USA

This book provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. It describes optimization problems involving commonly used sparsity-enforcing approaches as well as sparse recovery problems that extend the basic formulation to more sophisticated forms of structured sparsity and to different loss functions.

The book also covers sparse graphical models, dictionary learning, and sparse matrix factorizations.

Print ISBN: 978-1-4398-2869-4 eBook ISBN: 978-1-4398-2870-0 December 2014, 6-1/8 x 9-1/4, 253 pp. $79.95 / £49.99

Statistics in MATLAB®

Statistical Learning with Sparsity

A Primer

The Lasso and Generalizations

Wendy L. Martinez and MoonJung Cho

Trevor Hastie, Rob Tibshirani, and Martin Wainwright

U.S. Bureau of Labor Statistics, Washington, DC, USA Series: Chapman & Hall/CRC Computer Science & Data Analysis

This primer provides an accessible introduction to MATLAB® version 8 and its extensive functionality for statistics.

Fulfilling the need for a practical user’s guide, the book covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB. It presents examples of how MATLAB can be used to analyze data and explains how to determine what method should be used for analysis. A companion website provides data sets and additional examples.

Written by leading experts, this book discusses new methods for dealing with high-dimensional data. It summarizes the actively developing field of statistical learning with sparsity. Covering matrix decomposition, graphical models, compressed sensing, and more, it will be of interest to readers analyzing data in many scientific disciplines.

Print ISBN: 978-1-4987-1216-3 June 2015, 6-1/8 x 9-1/4, 349 pp. $89.95 / £57.99

Print ISBN: 978-1-4665-9656-6 eBook ISBN: 978-1-4665-9657-3 December 2014, 5-1/2 x 8-1/2, 286 pp., Paperback $49.95 / £31.99

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Machine Learning & Data Mining Statistical Reinforcement Learning Modern Machine Learning Approaches Masashi Sugiyama Tokyo Institute of Technology, Japan

Regularization, Optimization, Kernels, and Support Vector Machines Edited by

Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-free approaches, policy iteration, and policy search methods. It presents illustrative examples and state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RL. The book provides a bridge between RL and data mining and machine learning research.

Johan A.K. Suykens, Marco Signoretto, and Andreas Argyriou

Print ISBN: 978-1-4398-5689-5 March 2015, 6-1/8 x 9-1/4, 206 pp. $89.95 / £57.99

Print ISBN: 978-1-4822-4139-6 eBook ISBN: 978-1-4822-4140-2 October 2014, 6-1/8 x 9-1/4, 525 pp. $89.95 / £57.99

Textbook

Data Classification

Machine Learning

This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive reference covers the latest research and advances in regularization, sparsity, and compressed sensing. It describes recent progress in convex and large-scale optimization, kernel methods, and support vector machines and discusses output kernel learning, domain adaptation, multi-layer support vector machines, and more.

Algorithms and Applications

An Algorithmic Perspective, Second Edition

Edited by

Charu C. Aggarwal IBM Research, Yorktown Heights, New York, USA

Stephen Marsland Massey University, Palmerston North, New Zealand

This bestseller helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. Along with improved Python code, this second edition includes two new chapters on deep belief networks and Gaussian processes. It incorporates new material on the support vector machine, random forests, the perceptron convergence theorem, filters, and more. All of the code is available on the author’s website. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-8328-3 eBook ISBN: 978-1-4665-8336-8 October 2014, 7 x 10, 457 pp., Pack - Book and Ebook $79.95 / £49.99

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, this book explores the underlying algorithms of classification as well as applications of classification in a variety of problem domains, including text, multimedia, social network, and biological data.

It presents core methods in data classification, covers recent problem domains, and discusses advanced methods for enhancing the quality of the underlying classification results.

Print ISBN: 978-1-4665-8674-1 eBook ISBN: 978-1-4665-8675-8 July 2014, 7 x 10, 707 pp. $89.95 / £57.99

Computational Trust Models and Machine Learning

Data Clustering

Edited by

Edited by

Xin Liu, Anwitaman Datta, and Ee-Peng Lim

Charu C. Aggarwal

This book provides a detailed introduction to the concept of trust and its application in various computer science areas. Identifying trust modeling challenges that cannot be addressed by traditional approaches, the text effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment. It explains how reputation-based systems are used to determine trust in diverse online communities, discusses collaborative filtering-based trust aware recommendation systems, and investigates the objectivity of human feedback, emphasizing the need to filter outlying opinions to ensure credibility.

Print ISBN: 978-1-4822-2666-9 eBook ISBN: 978-1-4822-2667-6 October 2014, 6-1/8 x 9-1/4, 232 pp. $99.95 / £63.99

Algorithms and Applications IBM Research, Yorktown Heights, New York, USA

Chandan K. Reddy Wayne State University, Detroit, Michigan, USA Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery

In this book, top researchers from around the world cover the entire area of clustering, from basic methods to more refined and complex data clustering approaches. They pay special attention to recent issues in graphs, social networks, and other domains. The book explores the characteristics of clustering problems in a variety of application areas. It also explains how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.

Print ISBN: 978-1-4665-5821-2 eBook ISBN: 978-1-4665-5822-9 August 2013, 7 x 10, 652 pp. $99.95 / £63.99

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Machine Learning & Data Mining / Statistics in the Social & Behavioral Sciences Big Data

Interactive Data Visualization

Algorithms, Analytics, and Applications Edited by

Foundations, Techniques, and Applications, Second Edition

Kuan-Ching Li, Hai Jiang, Laurence T. Yang, and Alfredo Cuzzocrea

Matthew O. Ward, Georges Grinstein, and Daniel Keim

Series: Chapman & Hall/CRC Big Data

This book bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues regarding Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in medicine, science, and engineering. Coverage includes Big Data management, Big Data processing, Big Data streaming techniques and algorithms, Big Data privacy, and Big Data applications.

In color throughout, this popular book provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. It explains basic terminology and concepts, algorithmic and software engineering issues, and commonly used techniques and high-level algorithms. Full source code is provided for completing implementations. This edition includes new related readings, exercises, and programming projects; better quality figures and numerous new figures; and a new chapter on techniques for time-oriented data. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-4055-9 eBook ISBN: 978-1-4822-4056-6 February 2015, 7 x 10, 498 pp. $119.95 / £76.99

Print ISBN: 978-1-4822-5737-3 March 2015, 7-1/2 x 9-1/4, 578 pp. $99.95 / £63.99

Textbook

Healthcare Data Analytics

Data Visualization

Edited by

Principles and Practice, Second Edition Alexandru C. Telea University of Groningen, The Netherlands

This text explores the study of processing and visually representing data sets. This second edition presents a better treatment of the relationship between traditional scientific visualization and information visualization, a description of the emerging field of visual analytics, and updated techniques using the GPU and new generations of software tools and packages. This edition is also enhanced with exercises and downloadable code and data sets. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-8526-3 eBook ISBN: 978-1-4665-8528-7 September 2014, 7-1/2 x 9-1/4, 617 pp. $89.95 / £57.99

Visualization Analysis & Design Tamara Munzner University of British Columbia, Vancouver, Canada Series: AK Peters Visualization

This book provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. It features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. Suitable for both beginners and more experienced designers, the book does not assume any experience with programming, mathematics, human–computer interaction, or graphic design.

Print ISBN: 978-1-4665-0891-0 eBook ISBN: 978-1-4987-0776-3 December 2014, 7-1/2 x 9-1/4, 428 pp., Pack - Book and Ebook $79.95 / £49.99

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Chandan K. Reddy Wayne State University, Detroit, Michigan, USA

Charu C. Aggarwal IBM Research, Yorktown Heights, New York, USA Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery

This book provides a comprehensive overview of the healthcare analytics research field to educate the computing community about the research challenges in the field of healthcare informatics. It bridges the gap between computing and healthcare informatics communities to foster interdisciplinary works between the two communities.

Print ISBN: 978-1-4822-3211-0 May 2015, 6-1/8 x 9-1/4, 752 pp. $99.95 / £63.99

Textbook

Bayesian Methods A Social and Behavioral Sciences Approach, Third Edition Jeff Gill Washington University, St. Louis, Missouri, USA Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

The third edition of this bestseller focuses more on implementation details of the procedures and less on justifying procedures.

It includes new chapters on Bayesian decision theory and the practical implementation of MCMC methods using the BUGS software. It also expands the chapter on hierarchical models, presents many new applications from a variety of social science disciplines, and doubles the number of exercises. The author’s website provides new datasets, code, and procedures for calling BUGS packages from R. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-6248-3 eBook ISBN: 978-1-4987-2367-1 December 2014, 7 x 10, 724 pp. $75.95 / £48.99

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Statistics in the Social & Behavioral Sciences Computerized Multistage Testing Theory and Applications

Stated Preference Methods Using R

Edited by

Hideo Aizaki, Tomoaki Nakatani, and Kazuo Sato

Duanli Yan, Alina A. von Davier, and Charles Lewis

Chapman & Hall/CRC The R Series

Educational Testing Service, Princeton, New Jersey, USA Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement because it can be adapted to educational surveys and student testing. This volume provides the first unified source of information on the design, psychometrics, implementation, and operational use of MST. It shows how to apply theoretical statistical tools to testing in novel and useful ways. It also explains how to explicitly tie the assumptions made by each model to observable (or at least inferable) data conditions.

Print ISBN: 978-1-4665-0577-3 eBook ISBN: 978-1-4665-0580-3 May 2014, 6-1/8 x 9-1/4, 546 pp. $89.95 / £57.99

This book explains how to use stated preference survey methods to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates information on existing R functions and packages as well as those prepared by the authors. It focuses on core SP methods, including contingent valuation, discrete choice experiments, and best–worst scaling. All the example data sets and code are available online.

Print ISBN: 978-1-4398-9047-9 eBook ISBN: 978-1-4398-9048-6 August 2014, 6-1/8 x 9-1/4, 254 pp. $79.95 / £49.99

Analyzing Spatial Models of Choice and Judgment with R

Generalized Structured Component Analysis

David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal

A Component-Based Approach to Structural Equation Modeling

Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

McGill University, Montreal, Quebec, Canada

This book demonstrates how to estimate and interpret spatial models using a variety of methods with R. In each chapter, the authors explain the basic theory behind the spatial model, illustrate the estimation techniques and explore their historical development, and discuss the advantages and limitations of the methods. They also demonstrate step by step how to implement each method using R with actual datasets. The R code and datasets are available on the book’s website.

Print ISBN: 978-1-4665-1715-8 eBook ISBN: 978-1-4665-1716-5 February 2014, 6-1/8 x 9-1/4, 356 pp. $69.95 / £44.99

Heungsun Hwang Yoshio Takane Univeristy of Victoria, British Columbia, Canada Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

This book provides a detailed account of the authors’ novel statistical methodology for structural equation modeling. It presents the theoretical underpinnings of generalized structured component analysis and demonstrates how it can be applied to various empirical examples. Most chapters compare this novel approach to partial least squares path modeling to show how the two componentbased approaches differ when addressing an identical issue. The authors also offer software for implementing the basic features of generalized structured component analysis.

Print ISBN: 978-1-4665-9294-0 eBook ISBN: 978-1-4665-9295-7 December 2014, 6-1/8 x 9-1/4, 342 pp. $79.95 / £49.99

Growth Curve Analysis and Visualization Using R

Statistical Analysis of Questionnaires

Daniel Mirman

A Unified Approach Based on R and Stata

Moss Rehabilitation Institute, Elkins Park, Pennsylvania, USA Chapman & Hall/CRC The R Series

This book provides a practical, easy-to-understand guide to carrying out multilevel regression/growth curve analysis (GCA) of time course or longitudinal data in the behavioral sciences, particularly cognitive science, cognitive neuroscience, and psychology. With a minimum of statistical theory and technical jargon, the author focuses on the concrete issue of applying GCA to behavioral science data and individual differences. R code illustrates how to implement the analyses and generate the graphs. The example datasets, code, and more are available on the author’s website.

Print ISBN: 978-1-4665-8432-7 eBook ISBN: 978-1-4665-8433-4 February 2014, 6-1/8 x 9-1/4, 188 pp. $79.95 / £49.99

Francesco Bartolucci, Silvia Bacci, and Michela Gnaldi University of Perugia, Italy Series: Chapman & Hall/CRC Interdisciplinary Statistics

Mirroring the growing interest and use of statistical methods and software in education, health, and marketing, this book focuses on the statistical methods used to analyze and validate questionnaires adopted in these fields. The book features an applied approach to conducting testing and measurement in these fields. The chapters build from foundations of classical measurement theory, test reliability, validity, and scaling to item response theory (IRT) fundamentals, IRT for dichotomous and polytomous items, and the most recent IRT extensions.

Print ISBN: 978-1-4665-6849-5 July 2015, 6-1/8 x 9-1/4, 304 pp. $89.95 / £57.99

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Statistics in the Social & Behavioral Sciences / Statistics in Business, Finance & Economics Textbook

Modern Survey Sampling Arijit Chaudhuri Indian Statistical Institute, Kolkata

Starting from the preliminaries and ending with examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. Including case studies, exercises, and solutions, the book highlights special survey techniques needed to capture trustworthy data and put it to intelligent use. It then discusses the model-assisted approach and network sampling before moving on to speculating about random processes. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-7260-7 eBook ISBN: 978-1-4822-5002-2 June 2014, 6-1/8 x 9-1/4, 280 pp. $99.95 / £63.99

Age-Period-Cohort Models Approaches and Analyses with Aggregate Data

Adversarial Risk Analysis David L. Banks, Jesus M. Rios Aliaga, and David Rios Insua Adversarial risk analysis is a relatively new area of research concerning decision making when there are intelligent opponents and uncertain outcomes. This book develops methods for the analysis of allocation decisions when there are intelligent adversaries aiming at increasing risk. In addition, the book provides a framework for adversarial risk analysis with examples throughout that illustrate its application.

Print ISBN: 978-1-4987-1239-2 August 2015, 6-1/8 x 9-1/4, 200 pp. $89.95 / £57.99

Risk Assessment and Decision Analysis with Bayesian Networks Norman Fenton and Martin Neil

Robert O’Brien

Queen Mary University of London, UK

Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Bayesian networks are widely recognized as exciting and powerful technology for handling risk assessment. This book focuses on applications of Bayesian networks and practical model building using AgenaRisk, a powerful commercial software tool. The text includes real-life examples from the areas of operational risk, software risk, and reliability. Topics covered include probability tables, continuous variables, and decision-support systems. The authors introduce all the necessary probability and statistics and present the essential algorithms in an appendix.

This book presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approach. Emphasizing both the geometry and algebra of several APC approaches, the book develops readers’ understanding of the statistical issues of APC analysis and shows how common methods are related to each other.

Print ISBN: 978-1-4665-5153-4 eBook ISBN: 978-1-4665-5154-1 August 2014, 6-1/8 x 9-1/4, 216 pp. $79.95 / £49.99

Print ISBN: 978-1-4398-0910-5 eBook ISBN: 978-1-4398-0911-2 November 2012, 7 x 10, 524 pp. $87.95 / £44.99

The Synoptic Problem and Statistics

Textbook

Andris Abakuks

Erik Lindström, Henrik Madsen, and Jan Nygaard Nielsen

This book lays the foundations for a new area of interdisciplinary research that uses statistical techniques to investigate the synoptic problem in New Testament studies, which concerns the relationships between the Gospels of Matthew, Mark, and Luke. There are potential applications of the techniques to study other sets of similar documents.

The book presents core statistical material on the use of hidden Markov models to analyze binary time series. The binary time series data sets and R code used are available on the author’s website.

Print ISBN: 978-1-4665-7201-0 eBook ISBN: 978-1-4665-7202-7 October 2014, 6-1/8 x 9-1/4, 215 pp. $89.95 / £57.99

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Statistics for Finance Series: Chapman & Hall/CRC Texts in Statistical Science

This text develops students’ professional skills in statistics with applications in finance. It bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The authors explain how various statistical and mathematical tools are used to price financial derivatives, identify interest rate models, and more. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-2899-1 May 2015, 6-1/8 x 9-1/4, 384 pp. $89.95 / £57.99

For more information and complete contents, visit www.crcpress.com

Statistics in Business, Finance & Economics Computational Actuarial Science with R

Textbook

Quantitative Finance A Simulation-Based Introduction Using Excel Matt Davison University of Western Ontario, London, Canada

Accessible to students with a relatively modest level of mathematical background, this text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book’s CRC Press web page. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-7168-3 eBook ISBN: 978-1-4822-3782-5 May 2014, 6-1/8 x 9-1/4, 532 pp. $79.95 / £49.99

Edited by

Arthur Charpentier University of Québec, Montreal, Canada Series: Chapman & Hall/CRC The R Series

This book demystifies the computational aspects of actuarial science, showing that even complex computations can usually be done without too much trouble. Using simple R code, the book helps readers understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes. Datasets used in the text are available in an R package (CASdatasets).

Print ISBN: 978-1-4665-9259-9 eBook ISBN: 978-1-4665-9260-5 August 2014, 7 x 10, 656 pp. $89.95 / £57.99

Textbook

Textbook

Financial Mathematics

Pricing in General Insurance

A Comprehensive Treatment

Pietro Parodi

Giuseppe Campolieti and Roman N. Makarov Wilfrid Laurier University, Waterloo, Ontario, Canada Series: Chapman & Hall/CRC Financial Mathematics

This text provides a unified, self-contained account of the main theory and application of methods behind modernday financial mathematics. With an abundance of examples, problems, and fully worked out solutions, the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way. Unlike similar texts in the field, this one presents multiple problem-solving approaches, linking related comprehensive techniques for pricing different types of financial derivatives. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4398-9242-8 eBook ISBN: 978-1-4398-9243-5 March 2014, 7 x 10, 829 pp. $89.95 / £57.99

Counterparty Risk and Funding

Swiss Re, London, UK

This book is designed for an actuarial industry course on general insurance pricing. It delivers a practical introduction to all aspects of general insurance pricing, covering data preparation, frequency analysis, severity analysis, Monte Carlo simulation for the calculation of aggregate losses, and burning cost analysis. Providing case studies, examples, exercises, and step-by-step methods, the text presents pricing as a formalized process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate. Figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-8144-9 October 2014, 7 x 10, 584 pp. $99.95 / £59.99

Textbook

A Tale of Two Puzzles

Actuarial Models

Stéphane Crépey, Tomasz R. Bielecki, and Damiano Brigo

The Mathematics of Insurance, Second Edition

Series: Chapman & Hall/CRC Financial Mathematics

This book explains how to study risk embedded in financial transactions between the bank and its counterparty. The authors provide an analytical basis for the quantitative methodology of dynamic valuation, mitigation, and hedging of bilateral counterparty risk on over-the-counter (OTC) derivative contracts under funding constraints. They explore credit, debt, funding, liquidity, and rating valuation adjustment (CVA, DVA, FVA, LVA, and RVA) as well as replacement cost (RC), wrong-way risk, multiple funding curves, and collateral.

Print ISBN: 978-1-4665-1645-8 eBook ISBN: 978-1-4665-1646-5 June 2014, 7 x 10, 388 pp. $89.95 / £57.99

Vladimir I. Rotar San Diego State University, California, USA

Preparing students to take their actuarial exams, this text covers the basic models of insurance processes and presents the mathematical frameworks and methods used in actuarial modeling. It contains the standard material taught in actuarial modeling courses as well as several advanced topics. This second edition revises all chapters, especially material on the surplus process, and includes a new chapter on pension models and new problems from Casualty Actuarial Society exams. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-2706-2 eBook ISBN: 978-1-4822-2709-3 August 2014, 7 x 10, 654 pp., Pack - Book and Ebook $99.95 / £63.99

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Statistics in Business, Finance & Economics / Statistics in the Life Sciences Mathematical Statistics for Applied Econometrics

Quality Management for Organizations Using Lean Six Sigma Techniques

Charles B. Moss

Erick C. Jones

Textbook

University of Florida, Gainesville, USA

Avoiding a cookbook approach to econometrics, this textbook develops students’ theoretical understanding of statistical tools and econometric applications. It covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations and helps them think about statistics as more than a toolbox of techniques. Each chapter includes a summary, review questions, and numerical exercises. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-9409-8 eBook ISBN: 978-1-4665-9411-1 October 2014, 6-1/8 x 9-1/4, 363 pp. $89.95 / £57.99

Statistical Studies of Income, Poverty and Inequality in Europe Computing and Graphics in R Using EU-SILC Nicholas T. Longford Universitat Pompeu Fabra, Barcelona, Spain Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

This book shows how to use statistical computing in survey analysis. It presents a linked set of analyses of European Union statistics on income and living conditions using the statistical environment R. The book covers informative graphics and advanced analytical and programming skills for dealing with large-scale databases. It also focuses on the application of complex methods to survey data, such as longitudinal analysis of continuous and categorical data, mixture modeling, and small-area estimation.

Print ISBN: 978-1-4665-6832-7 eBook ISBN: 978-1-4665-6833-4 July 2014, 6-1/8 x 9-1/4, 375 pp. $79.95 / £49.99

The University of Texas, Arlington, USA

Exploring modern Lean Six Sigma techniques, this book presents the background on quality and Lean Six Sigma techniques and tools. It reviews the previous history of Lean Six Sigma in manufacturing, current applications of Lean Six Sigma in operations, which projects should be selected and prioritized, and what to do with non-Lean Six Sigma projects. It also describes the different Six Sigma certifications and closes with future directions. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-4398-9782-9 eBook ISBN: 978-1-4822-4699-5 February 2014, 7 x 10, 627 pp. $149.95 / £95.00

Textbook

Introductory Statistics for the Health Sciences Lise DeShea and Larry E. Toothaker University of Oklahoma, Oklahoma City, USA

This textbook provides students entering a health sciences program with a strong, practical foundation in statistics.

Real research examples and data sets from many areas in the health sciences illustrate descriptive and inferential statistics, interval estimation, graphing, probability, and other topics. In color throughout, the book can be used in a first-semester course in a health sciences program or in a service course for undergraduate students. E-flashcards for smartphones and data sets are available via a supplementary website. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4665-6533-3 April 2015, 6-1/8 x 9-1/4, 603 pp. $99.95 / £63.99

Competitive Innovation and Improvement

Textbook

Statistical Design and Control Kieron Dey

Design and Analysis of Experiments and Regression

Nobigroup Inc., Knoxville, Tennessee, USA

S.J. Welham, S.A. Gezan, S.J. Clark, and A. Mead

This book explains how to combine two widely known statistical methods—statistical design and statistical control—in a manner that can help any business, government, or research organization solve problems quickly with sustained results. Because the problem-solving strategy employed is based on pure scientific method, it makes integration into any existing problemsolving or research method quite simple. Organizations can immediately apply the concepts discussed with existing staff, releasing latent energy rather than adding to their workload.

Written in simple language with relevant examples, this introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat® statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R. A solutions manual and figure slides are available upon qualifying course adoption.

Print ISBN: 978-1-4822-3343-8 eBook ISBN: 978-1-4822-3344-5 September 2014, 6-1/8 x 9-1/4, 231 pp. $59.95 / £38.99

Print ISBN: 978-1-4398-0878-8 eBook ISBN: 978-1-4398-0881-8 August 2014, 7 x 10, 608 pp. $79.95 / £49.99

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Statistical Methods in Biology

For more information and complete contents, visit www.crcpress.com

Statistics in the Life Sciences / Environmental Statistics Textbook

Introduction to Statistical Data Analysis for the Life Sciences

Stochastic Dynamics for Systems Biology Christian Mazza

Second Edition

University of Fribourg, Switzerland

Claus Thorn Ekstrom Helle Sørensen

Neuchatel University, Switzerland

Michel Benaim

University of Copenhagen, Denmark

Series: Chapman & Hall/CRC Mathematical and Computational Biology

Using R throughout, this popular textbook presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. Expanded with over 100 more pages, this edition includes a new chapter on non-linear regression models and a new chapter that contains examples of complete data analyses. It also incorporates additional exercises as well as a summary of statistical formulas related to the specific designs used to teach the statistical concepts. A solutions manual and figure slides are available upon qualifying course adoption.

This is one of the first books to provide a systematic study of the many stochastic models used in systems biology.

The book shows how the mathematical models are used as technical tools for simulating biological processes and how the models lead to conceptual insights on the functioning of the cellular processing system. Examples cover the phage lambda genetic switch, eukaryotic gene expression, noise propagation in gene networks, and more. Most of the text should be accessible to scientists with basic knowledge in calculus and probability theory.

Print ISBN: 978-1-4822-3893-8 eBook ISBN: 978-1-4822-3895-2 November 2014, 6-1/8 x 9-1/4, 526 pp., Paperback $69.95 / £39.99

Print ISBN: 978-1-4665-1493-5 eBook ISBN: 978-1-4665-1494-2 March 2014, 6 x 9, 274 pp. $79.95 / £49.99

RNA-seq Data Analysis

Analysis of Capture-Recapture Data

A Practical Approach Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, and Garry Wong

Rachel S. McCrea and Byron J.T. Morgan

Series: Chapman & Hall/CRC Mathematical and Computational Biology

Series: Chapman & Hall/CRC Interdisciplinary Statistics

University of Kent, Canterbury, UK

This self-contained guide enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes. It takes readers through the whole data analysis workflow. Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples. Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of commandline tools, R, and other open source tools.

Written for researchers and students in statistics, ecology, demography, and the social sciences, this book covers many modern developments of capture-recapture and related methods. With an emphasis on ecology, it helps readers understand model formulation and applications, including the technicalities of model diagnostics and checking. A wide range of real examples demonstrates the complexities that arise when describing extensive modern data. The book contains 130 exercises that extend the text and offers data sets, computer programs, and more online.

Print ISBN: 978-1-4665-9500-2 eBook ISBN: 978-1-4822-6235-3 September 2014, 6-1/8 x 9-1/4, 322 pp., Pack - Book and Ebook $69.95 / £44.99

Print ISBN: 978-1-4398-3659-0 eBook ISBN: 978-1-4398-3660-6 August 2014, 6-1/8 x 9-1/4, 314 pp. $79.95 / £49.99

Bayesian Phylogenetics Methods, Algorithms, and Applications

Introduction to Ecological Sampling

Edited by

Edited by

Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis

Bryan F.J. Manly

University of Connecticut, Storrs, USA

Western EcoSystem Technology, Inc., Laramie, Wyoming, USA

Series: Chapman & Hall/CRC Mathematical and Computational Biology

Jorge A. Navarro Alberto

Suitable for graduate-level researchers in statistics and biology, this book presents a snapshot of current trends in Bayesian phylogenetic research. It emphasizes model selection, reflecting recent interest in accurately estimating marginal likelihoods. The book discusses new approaches to improve mixing in Bayesian phylogenetic analyses in which the tree topology varies. It also covers divergence time estimation, biologically realistic models, and the burgeoning interface between phylogenetics and population genetics.

Series: Chapman & Hall/CRC Applied Environmental Statistics

Print ISBN: 978-1-4665-0079-2 eBook ISBN: 978-1-4665-0082-2 May 2014, 6-1/8 x 9-1/4, 396 pp. $99.95 / £63.99

Universidad Autonoma de Yucatan, Merida, Mexico

This book shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling methods and recent developments in environmental and ecological sampling methods, including mark-recapture, adaptive, and removal sampling. The book explains the methods as simply as possible, keeping equations and their derivations to a minimum. Accessible to biologists, the text only assumes a basic knowledge of statistical methods. Data sets and R code are available on a supplementary website.

Print ISBN: 978-1-4665-5514-3 eBook ISBN: 978-1-4665-5515-0 October 2014, 6-1/8 x 9-1/4, 228 pp. $89.95 / £57.99

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Environmental Statistics / Statistics in Engineering Scale in Spatial Information and Analysis

Simple Statistical Methods for Software Engineering

Jingxiong Zhang, Peter Atkinson, and Michael Goodchild

Data and Patterns

Essential to the comprehension of spatial phenomena and application of spatial information, scale dependencies must be properly and usefully incorporated for betterinformed spatial problem solving. This book provides a coherent synthesis of past and current research on scale issues in spatial information and analysis. Within a clear geostatistical framework, it describes the fundamental concepts, theories, and techniques essential for scaledependent and sensitive handling of multi-source spatial data. The book includes examples and illustrations for mathematical detail and outlines potential future developments in the field.

Quality Improvements Consultants, Hyderabad, India

Print ISBN: 978-1-4398-2937-0 eBook ISBN: 978-1-4398-2938-7 April 2014, 6-1/8 x 9-1/4, 367 pp. $129.95 / £63.99

Quantitative Methods and SocioEconomic Applications in GIS Second Edition Fahui Wang Louisiana State University, Baton Rouge, USA

The second edition of this bestseller details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. Updated to include the most recent version of ArcGIS 10.1, this edition covers developments in GIS, such as the simulation of urban environments.

Two new chapters highlight cellular automata-based simulation of urban growth and Monte Carlo simulation of urban traffic. In addition, all discussions have been expanded to improve readability, particularly for students.

Print ISBN: 978-1-4665-8472-3 eBook ISBN: 978-1-4665-8473-0 December 2014, 6-1/8 x 9-1/4, 333 pp. $119.95 / £76.99

C. Ravindranath Pandian Murali Kumar Although there are countless books on statistics, few are dedicated to the application of statistical methods to software engineering. This book fills that void. Instead of delving into overly complex statistics, it focuses on simpler solutions that are just as effective. The authors not only explain the required statistical methods but also supply detailed examples, stories, and case studies that facilitate the understanding required to apply the methods in real-world software engineering applications.

Print ISBN: 978-1-4398-1661-5 April 2015, 6-1/8 x 9-1/4, 392 pp. $99.95 / £63.99

Statistics for Mining Engineering Jacek M. Czaplicki Silesian University of Technology, Gliwice, Poland

This book shows mining engineers how the statistical analysis of data and statistical synthesis should be conducted. It also explains how to use the results obtained to make appropriate decisions connected with a mining operation. After reviewing probability theory, the book focuses on statistical analysis and synthesis. It also includes a special section on statistical prediction. The text is illustrated with many examples taken from mining practice and provides the tables required to conduct statistical inference.

Print ISBN: 978-1-138-00113-8 eBook ISBN: 978-1-315-81503-9 January 2014, 6-3/4 x 9-3/4, 288 pp. $129.95 / £82.00

Spatial Analysis

Traffic Simulation and Data

Statistics, Visualization, and Computational Methods

Validation Methods and Applications

Tonny J. Oyana Florence Margai

Winnie Daamen, Christine Buisson, and Serge P. Hoogendoorn

Binghamton University, State University of New York, USA

This book provides an overview of calibration and validation techniques for traffic simulation models. It details the data required as an input for the calibration and validation processes and shows how to increase its applicability using data enhancement techniques. It presents an extensive overview of traffic estimation, calibration, and validation techniques, taking into account the key factor of uncertainty. The book is derived from the MULTITUDE project of the European Union COST framework.

This book provides a concept-based problem-solving learning approach to mastering practical spatial analysis tasks. It draws from statistics, spatial statistics, visualization, and computational methods with the overall objective of supporting the growing field of geographic information science (GIS). The book introduces spatial concepts together with a series of helpful hands-on computer-based GIS exercises for studying and quantifying spatial patterns, distributions, and relationships.

Print ISBN: 978-1-4987-0763-3 August 2015, 6-1/8 x 9-1/4, 280 pp. $99.95 / £63.99

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Edited by

Print ISBN: 978-1-4822-2870-0 eBook ISBN: 978-1-4822-2871-7 September 2014, 6-1/8 x 9-1/4, 262 pp. $129.95 / £82.00

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Statistics in Engineering Adaptive Filtering Fundamentals of Least Mean Squares with MATLAB® Alexander D. Poularikas The University of Alabama in Huntsville, USA

This book covers the fundamentals of adaptive filtering, with a focus on the least mean square (LMS) adaptive filter. It discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributions while delivering a concise introduction to MATLAB®, complete with problems, computer experiments, and over 110 functions and script files. The text not only addresses the basics of the LMS adaptive filter algorithm but also explores the Wiener filter and its applications, details the steepest descent method, and develops Newton’s algorithm.

Print ISBN: 978-1-4822-5335-1 eBook ISBN: 978-1-4822-5336-8 September 2014, 6-1/8 x 9-1/4, 363 pp., Paperback $99.95 / £63.99

Textbook

Risk Analysis in Engineering and Economics Second Edition Bilal M. Ayyub University of Maryland, College Park, USA

This text describes the fundamental concepts, methods, and applications of risk analysis and management.

Containing contemporary case studies, such as protecting hurricane-prone regions and critical infrastructure, the second edition covers risk finance, predictive risk management, and performance segregation and aggregation within a risk framework. To help students translate the techniques into real-world solutions, this edition includes a wealth of new and updated end-of-chapter problems, 320+ tables and figures, over 110 diverse examples, numerous references, and a bibliography. A solutions manual is available upon qualifying course adoption.

Print ISBN: 978-1-4665-1825-4 eBook ISBN: 978-1-4665-1826-1 March 2014, 7 x 10, 640 pp. $129.95 / £82.00

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