Books in Statistics

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Explore New, Essential, and Forthcoming

Books in Statistics from CRC Press

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Contents Introductory Statistics & General References ........3 Statistical Theory & Methods ..............................5 Biostatistics & Epidemiology ..............................13 Computational Statistics ....................................18 Data Mining & Machine Learning......................24 Page 3

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Statistics for the Social & Behavioral Sciences ....26 Statistics for Life Sciences....................................29 Statistics for Business, Finance, & Economics ....30 Statistics for Engineering & Physical Science ......34 Statistical Genetics & Bioinformatics ..................35

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Introductory Statistics & General References New!

Coming soon!

Past, Present, and Future of Statistical Science

Using R for Introductory Statistics

Edited by

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

Catalog no. K21417, April 2014, c. 646 pp.

ISBN: 978-1-4822-0496-4, $79.95 / £49.99 Also available as an eBook

New!

Statistics in Action A Canadian Outlook 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.

Catalog no. K23109, March 2014, 384 pp.

ISBN: 978-1-4822-3623-1, $99.95 / £63.99 SSC Members Only, $50.00 Also available as an eBook

Second Edition John Verzani CUNY/College of Staten Island, New York, USA

Suitable as a primary text or supplement, this best-selling textbook continues to be the choice for learning R as part of an introductory statistics course. This second edition has been updated with new chapters covering particular features of R, including data management, programming, packages, and RStudio. Along with revised and expanded examples and exercises, it also greatly improves the chapter on categorical data and includes a new chapter on permutation tests. Ancillary materials are available upon qualifying course adoption.

Catalog no. K20484, June 2014, c. 528 pp.

ISBN: 978-1-4665-9073-1, $59.95 / £38.99 Also available as an eBook

The R Student Companion Brian Dennis University of Idaho, Moscow, USA

“An R book for high schoolers!

This is an excellent idea, and the quality of the product is equally excellent. It may be suitable for non-calculusbased introductory courses at the college level as well. … Dennis does a good job dispelling the ‘steep learning curve’ myth concerning R … It is high time that introductory statistics be taught in an engaging manner that reflects our own enthusiasm for the subject, with meaningful data sets, attractive graphics, and so on. Dennis’ book is a fine contribution toward that goal.”

—Norman Matloff, Journal of Statistical Software, February 2013

Catalog no. K13498, September 2012, 360 pp.

Soft Cover, ISBN: 978-1-4398-7540-7 $41.95 / £26.99

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Introductory Statistics & General References Coming soon!

The A-Z of Error-Free Research

Principles of Scientific Methods

Phillip I. Good

Mark Chang AMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA

This book focuses on the fundamental principles behind scientific methods. The author uses concrete examples and illustrations to introduce and explain principles. He also uses analogies to connect different methods or problems to arrive at a general principle or common notion. The book explains 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, present mistakes, and solve problems.

Catalog no. K23206, July 2014, c. 200 pp.

Soft Cover, ISBN: 978-1-4822-3809-9 $49.95 / £31.99 Also available as an eBook

“… a valuable refresher on hypothesis testing, coping with variation, data collection, sample size decisions, and more … aid[s] the reader in becoming a confident researcher … .”

—Tom Schulte, MAA Reviews, April 2013

Catalog no. K14287, August 2012, 269 pp.

Soft Cover, ISBN: 978-1-4398-9737-9 $52.95 / £33.99

Paradoxes in Scientific Inference Mark Chang AMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA

“This is a very, very entertaining book. It is extremely well written, extremely clear, and very highly recommended.”

New!

—Norman R. Draper, International Statistical Review (2013), 81

Essentials of Multivariate Data Analysis

Catalog no. K14744, October 2012, 291 pp.

Soft Cover, ISBN: 978-1-4665-0986-3 $41.95 / £26.99 Also available as an eBook

Neil H. Spencer University of Hertfordshire Business School, de Havilland Campus, Hatfield, UK

Accessible to students and researchers without a substantial background in statistics or mathematics, this text explains the usefulness of multivariate methods in applied research. Unlike most books on multivariate methods, this one makes straightforward analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. It uses an easily understood dataset to help explain the techniques and an Excel add-in to enable basic analyses, with both available on the book’s CRC Press web page.

Catalog no. K19058, December 2013, 186 pp.

Soft Cover, ISBN: 978-1-4665-8478-5 $59.95 / £34.99 Also available as an eBook

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Consultant, Huntington Beach, California, USA

A Statistical Guide for the Ethically Perplexed Lawrence Hubert Howard Wainer “… a one-of-a-kind volume. … In 18 pithy chapters, this paperback edition covers some of the most important issues of correct reasoning to reach correct conclusions. … a lot of well-written information. … Do you really need another book, this book, on research and statistics? YES!” —Malcolm James Ree, Personnel Psychology, Spring 2014

Catalog no. K13412, September 2012, 588 pp.

Soft Cover, ISBN: 978-1-4398-7368-7 $52.95 / £33.99 Also available as an eBook

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Statistical Theory & Methods New!

Bayesian Data Analysis Third Edition Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin Now in its third edition, this classic book continues to take an applied approach to analysis using up-to-date 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.

Catalog no. K11900, November 2013, 675 pp.

ISBN: 978-1-4398-4095-5, $69.95 / £44.99 Also available as an eBook

New!

Stochastic Modeling and Mathematical Statistics

Statistical Theory A Concise Introduction Felix Abramovich Tel Aviv University, Israel

Ya'acov Ritov The Hebrew University of Jerusalem, Israel

Designed for a one-semester advanced undergraduate or graduate course, this text clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. It introduces these topics on a clear intuitive level using illustrative examples in addition to the formal definitions, theorems, and proofs. Requiring no heavy calculus, simple questions throughout the text help students check their understanding of the material.

Catalog no. K12383, April 2013, 240 pp.

ISBN: 978-1-4398-5184-5, $69.95 / £44.99 Also available as an eBook

Understanding Advanced Statistical Methods Peter Westfall

A Text for Statisticians and Quantitative Scientists

Texas Tech University, Lubbock, USA

Francisco J. Samaniego

“The book covers the content of a typical undergraduate math stat text, but with much more thought to application than a typical text. … It would be worth considering for a course using Rice.

I also recommend it as a reference for anyone teaching applied statistics.”

University of California, Davis, USA

This text addresses core issues in post-calculus probability and statistics in a way that is useful for students majoring in statistics and mathematics as well as students in the quantitative sciences. In a reader-friendly manner, the author provides the mathematical justification behind widely used statistical methods. Along with many examples, the book includes more than 1,000 exercises and problems at varying levels of difficulty and with a broad range of topical focus.

Catalog no. K15895, January 2014, 622 pp.

ISBN: 978-1-4665-6046-8, $89.95 / £57.99 Also available as an eBook

Kevin S.S. Henning Sam Houston State University, Huntsville, Texas, USA

—Martha K. Smith, University of Texas at Austin

“… allows a better distinction between models, parameters, and estimates and should help pave a way to instill statistical thinking to undergraduate students.”

—Mithat Gönen, Memorial Sloan-Kettering Cancer Center

Catalog no. K14873, April 2013, 569 pp.

ISBN: 978-1-4665-1210-8, $79.95 / £44.99 Also available as an eBook

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Statistical Theory & Methods Coming soon!

New!

Linear Algebra and Matrix Analysis for Statistics

Quasi-Least Squares Regression

Sudipto Banerjee University of Minnesota, School of Public Health, Minneapolis, USA

Justine Shults University of Pennsylvania, Philadelphia, USA

Joseph M. Hilbe

Anindya Roy University of Maryland Baltimore County, USA

“This beautifully written text is unlike any other in statistical science. It starts at the level of a first undergraduate course in linear algebra and takes the student all the way up to the graduate level, including Hilbert spaces. It is extremely well crafted and proceeds up through that theory at a very good pace. … This elegant, sophisticated work will serve upper-level and graduate statistics education well.”

—Jim Zidek, University of British Columbia

Catalog no. K10023, June 2014, c. 568 pp.

ISBN: 978-1-4200-9538-8, $79.95 / £49.99 Also available as an eBook

California Institute of Technology, Pasadena, and Arizona State University, Tempe, USA

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. The provided code enables readers to replicate many of the examples in Stata, R, SAS, or MATLAB®.

Catalog no. K10019, January 2014, 221 pp.

ISBN: 978-1-4200-9993-5, $89.95 / £57.99 Also available as an eBook

Exercises and Solutions in Statistical Theory

Generalized Estimating Equations

Lawrence L. Kupper, Brian H. Neelon, and Sean M. O’Brien

James W. Hardin

Second Edition

This book helps readers obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this one incorporates many exercises that apply to real-world settings and provides much more thorough solutions. By mastering the theoretical statistical strategies necessary to solve the exercises, readers will be prepared to successfully study even higher-level statistical theory.

Catalog no. K16626, June 2013, 388 pp.

Soft Cover, ISBN: 978-1-4665-7289-8 $59.95 / £38.99 Also available as an eBook

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University of South Carolina, Columbia, USA

Joseph M. Hilbe California Institute of Technology, Pasadena, and Arizona State University, Tempe, USA

“The second edition … adds a few new topics related to various extensions of GEE … [and replaces] outdated S-PLUS codes with R scripts. Also, the number of exercises increased significantly … . For those who want to use this book in the classroom, including me, having extra exercise sets is certainly a welcome addition. … One main strength of this book is its comprehensive coverage of Stata implementation of the GEE. …”

—Woncheol Jang, Biometrics, September 2013

Catalog no. K13819, December 2012, 277 pp.

ISBN: 978-1-4398-8113-2, $93.95 / £59.99 Also available as an eBook

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Statistical Theory & Methods Coming soon!

Printed in Full Color!

Hierarchical Modeling and Analysis for Spatial Data Second Edition Sudipto Banerjee, Alan E. Gelfand, and Bradley P. Carlin Substantially updated, this self-contained second edition uses Bayesian hierarchical models in the analysis of spatial data. Three new chapters cover hierarchical models for point-process data with a focus on Bayesian inference in the presence of spatial and nonspatial predictors, the modeling of large spatial and spatial-temporal data sets, and spatial gradients. This edition also includes tutorials on R and WinBUGS and addresses spatial survival models, dynamic spatial frailty models, and multi-scale and nested spatial models.

Catalog no. K11011, August 2014, c. 584 pp.

ISBN: 978-1-4398-1917-3, $99.95 / £63.99 Also available as an eBook

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns Third Edition Peter J. Diggle Lancaster University, UK

Retaining all the material from the second edition and adding substantial new material, this third edition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this edition now covers spatio-temporal point patterns. It also incorporates the use of R through several packages dedicated to the analysis of spatial point process data, with code and data sets available online. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences.

Catalog no. K15883, July 2013, 300 pp.

ISBN: 978-1-4665-6023-9, $79.95 / £49.99 Also available as an eBook

New!

Handbook of Spatial PointPattern Analysis in Ecology Thorsten Wiegand Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany

Kirk A. Moloney Iowa State University, Ames, USA

This handbook shows how the techniques of point pattern analysis are useful for tackling ecological problems. Within an ecological framework, it guides readers through a variety of methods for different data types and aids in the interpretation of the results obtained by point-pattern analysis. Along with the techniques, the book provides a comprehensive selection of real-world examples. Most of the examples are analyzed using the authors’ software package Programita. The software and a manual are available online.

Catalog no. C8254, December 2013, 538 pp.

ISBN: 978-1-4200-8254-8, $79.95 / £49.99 Also available as an eBook

New!

Stationary Stochastic Processes for Scientists and Engineers Georg Lindgren, Holger Rootzen, and Maria Sandsten “This book is a lucid and well-paced introduction to stationary stochastic processes, superbly motivated and illustrated through a wealth of convincing applications in science and engineering. It offers a clear guide to the formulation and mathematical properties of these processes and to some non-stationary processes too … The reader will find tools for analysis and calculation and also—importantly— material to deepen understanding and generate enthusiasm and confidence. An outstanding text.”

—Clive Anderson, University of Sheffield

Catalog no. K20279, October 2013, 330 pp.

ISBN: 978-1-4665-8618-5, $79.95 / £49.99 Also available as an eBook

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Statistical Theory & Methods Stationary Stochastic Processes

New!

Richly Parameterized Linear Models

Theory and Applications

Additive, Time Series, and Spatial Models Using Random Effects

Georg Lindgren Lund University, Sweden

“In many respects, Lindgren’s Stationary Stochastic Processes is an updated and expanded version that has captured much of the same spirit (and topics!) as the Cramer and Leadbetter classic. While there have been a number of new and good books published recently on spatial statistics, none cover some of the key important topics such as sample path properties and level crossings in a comprehensive and understandable fashion like Lindgren’s book. This book is required reading for all of my PhD students working in spatial statistics and related areas.”

—Richard A. Davis, Columbia University

Catalog no. K15489, October 2012, 375 pp.

ISBN: 978-1-4665-5779-6, $93.95 / £59.99 Also available as an eBook

James S. Hodges University of Minnesota, Minneapolis, USA

“This book is a masterpiece, destined to become a classic. … There is not presently a unified theory, like that for linear regression, to explain how, why, and when our numerical routines give results that should be questioned, or at least examined further. Even so, this book does the best job I have seen of explaining what can go wrong and what the state of the art is. … I am excited by the prospect of teaching a course from this book. Its clarity of thought and presentation are exemplary. I recommend it for anyone who fits complicated models.”

—Michael Lavine, University of Massachusetts Amherst

Catalog no. K12996, November 2013, 469 pp.

ISBN: 978-1-4398-6683-2, $89.95 / £57.99 Also available as an eBook

Analysis of Mixed Data

Applied Stochastic Processes Ming Liao

Methods & Applications

Auburn University, Alabama, USA

Edited by

This text presents a concise, graduate-level treatment of the subject, emphasizing applications and practical computation. It also establishes the complete mathematical theory in an accessible way.

After reviewing basic probability, the text covers Poisson processes, renewal processes, discrete- and continuous-time Markov chains, and Brownian motion. It also offers an introduction to stochastic differential equations. While the main applications described are queues, the book also considers other examples, such as the mathematical model of a single stock market.

Alexander R. de Leon

Catalog no. K20401, July 2013, 208 pp.

ISBN: 978-1-4665-8933-9, $79.95 / £49.99 Also available as an eBook

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University of Calgary, Alberta, Canada

Keumhee Carrière Chough University of Alberta, Edmonton, Canada

This book offers a complete and up-to-date introduction to and summary of the fundamental advances and developments in the field. It presents modern methods and case studies to illustrate interesting applications from economics, medicine, health, marketing, and genetics. All chapters include illustrative examples, many drawn from real-life case studies.

Ample cross-references between chapters enable readers to connect the book’s various topics and research strands as well as facilitate self-study.

Catalog no. K13979, January 2013, 262 pp.

ISBN: 978-1-4398-8471-3, $89.95 / £57.99 Also available as an eBook

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Statistical Theory & Methods Generalized Linear Mixed Models

Flexible Imputation of Missing Data

Modern Concepts, Methods and Applications

TNO Quality of Life, Leiden, The Netherlands

Walter W. Stroup University of Nebraska, Lincoln, USA

“… a thorough, engaging, and opinionated treatment of the subject … I found the ‘fully general’ GLMM approach to modeling and design issues (Chapters 1 and 2) to be quite illuminating. …”

—Homer White, MAA Reviews, June 2013

“… for SAS users concerned with the analysis of trials, it is a very good resource. There are excellent discussions on many important concepts such as likelihood ratio testing and model selection criteria. …”

—Gillian Z. Heller, Australian & New Zealand Journal of Statistics, 2013

Stef van Buuren “This book would be well suited as a textbook, especially at the graduate level, possibly for biostatisticians, epidemiologists, or applied scientists and users of statistical methodology. … a very enjoyable read, and—at least in my opinion—it is a book that belongs on everyone’s shelf as it does open one’s eyes to a problem that has surrounded us (and that many of us have ignored!) for a very long time.”

—Wolfgang S. Jank, Journal of the American Statistical Association, June 2013

Catalog no. K13103, March 2012, 342 pp.

ISBN: 978-1-4398-6824-9, $93.95 / £59.99 Also available as an eBook

Catalog no. K10775, September 2012, 555 pp.

ISBN: 978-1-4398-1512-0, $93.95 / £59.99 Also available as an eBook

Statistical Methods for Handling Incomplete Data Jae Kwang Kim and Jun Shao Along with many examples, this text covers the most up-todate statistical theories and computational methods for analyzing incomplete data. It presents a thorough treatment of statistical theories of likelihood-based inference with missing data. It also discusses numerous computational techniques and theories on imputation and extensively covers methods involving propensity score weighting, nonignorable missing data, longitudinal missing data, survey sampling, and statistical matching.

Catalog no. K12249, July 2013, 223 pp.

ISBN: 978-1-4398-4963-7, $89.95 / £57.99 Also available as an eBook

Coming soon!

Data Analysis and Approximate Models Model Choice, Location-Scale, Analysis of Variance, Nonparametic Regression and Image Analysis Laurie Davies University of Duisburg-Essen, Germany

This book presents a philosophical study of statistics via the concept of data approximation. Developed by the author, this approach discusses how analysis must take into account that models are, at best, an approximation of real data. It is, therefore, closely related to robust statistics and nonparametric statistics and can be used to study nearly any statistical technique. The book also examines the frequentist versus Bayesian debate in statistics.

Catalog no. K22027, August 2014, c. 300 pp.

ISBN: 978-1-4822-1586-1, $99.95 / £63.99

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Statistical Theory & Methods New!

New!

Visualization and Verbalization of Data

Nonlinear Time Series Theory, Methods and Applications with R Examples

Edited by

Jorg Blasius University of Bonn, Germany

Michael Greenacre Universitat Pompeu Fabra, Barcelona, Spain

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.

Catalog no. K20426, April 2014, c. 384 pp.

ISBN: 978-1-4665-8980-3, $109.95 / £69.99 Also available as an eBook

Randal Douc, Eric Moulines, and David Stoffer This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, and ARMA models, 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.

Catalog no. K14426, January 2014, 551 pp.

ISBN: 978-1-4665-0225-3, $99.95 / £63.99 Also available as an eBook

New!

Theory of Factorial Design

Coming soon!

Dependence Modeling with Copulas

Single- and MultiStratum Experiments Ching-Shui Cheng

Harry Joe University of British Columbia, Vancouver, Canada

University of California, Berkeley, USA, and Academia Sinica, Taiwan

Dependence modeling is an important topic in the study of financial, environmental, medical, and other types of risk. This book covers the substantial research that has taken place in the field during the last 15 years. It discusses the modern topic of the “vine copula,” a technique that can be used for modeling dependencies in high-dimensional data.

The book deftly balances theory and applications, covering diagnostics, model selection, inference, and computing.

Bringing together both new and old results, this book provides a rigorous, systematic, and up-to-date treatment of the theoretical aspects of factorial design. To prepare readers for the general theory of multi-stratum factorial design, the author first presents a unified treatment of several simple designs. In addition to traditional topics and a thorough discussion of the popular minimum aberration criterion, the book covers many topics and results not discussed in related texts. With exercises and numerous examples, it only requires minimal prior knowledge of experimental design.

Catalog no. K18978, July 2014, c. 488 pp.

ISBN: 978-1-4665-8322-1, $89.95 / £57.99 Also available as an eBook

Catalog no. K14573, December 2013, 409 pp.

ISBN: 978-1-4665-0557-5, $99.95 / £63.99 Also available as an eBook

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Statistical Theory & Methods New!

Constrained Principal Component Analysis and Related Techniques Yoshio Takane Professor Emeritus, McGill University, Montreal, Quebec, and Adjunct Professor, University of Victoria, British Columbia, Canada

This book shows how constrained principal component analysis (CPCA) offers a unified framework for regression techniques and PCA. Keeping the use of complicated iterative methods to a minimum, the book includes implementation details and many real application examples. It also offers material for methodologically oriented readers interested in developing statistical techniques of their own. MATLAB® programs as well as data to create the book’s examples are available on the author’s website.

Catalog no. K15430, October 2013, 251 pp.

ISBN: 978-1-4665-5666-9, $89.95 / £57.99 Also available as an eBook

Nonparametric Methods in Statistics with SAS Applications Olga Korosteleva California State University, Long Beach, USA

This classroom-tested book teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods. Along with exercises at the end of each chapter, the text includes various examples from psychology, education, clinical trials, and other areas. Complete SAS codes for all examples are given in the text. Large data sets for the exercises are available on the author’s website.

Catalog no. K18845, August 2013, 195 pp.

Soft Cover, ISBN: 978-1-4665-8062-6 $69.95 / £44.99 Also available as an eBook

Analysis of Variance for Functional Data Jin-Ting Zhang National University of Singapore

This self-contained book presents up-to-date hypothesis testing methods for functional data analysis.

Catalog no. K12912, June 2013, 412 pp.

ISBN: 978-1-4398-6273-5, $99.95 / £63.99 Also available as an eBook

Mean Field Simulation for Monte Carlo Integration Pierre Del Moral University of New South Wales

This book presents the first comprehensive and modern mathematical treatment of mean field particle models, including refined convergence analysis on nonlinear Markov chain models.

Catalog no. K14505, May 2013, 626 pp.

ISBN: 978-1-4665-0405-9, $99.95 / £63.99 Also available as an eBook

Statistical Methods with Applications to Demography and Life Insurance Estáte V. Khmaladze Victoria University of Wellington, New Zealand

“… contains several very interesting relevant real historical examples … a good text for a one-semester graduate course on survival analysis featuring demography or life insurance. … also useful for researchers who are interested in survival analysis or reliability.”

—Biometrics, December 2013

Catalog no. K14582, March 2013, 242 pp.

ISBN: 978-1-4665-0573-5, $79.95 / £49.99 Also available as an eBook

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Statistical Theory & Methods Coming soon!

Coming soon!

Linear Models with R

Introduction to Probability

Second Edition

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

Julian J. Faraway University of Bath, UK

This second edition reorganizes the material on interpreting linear models to distinguish the main applications of prediction and explanation. Elementary notions of causality are introduced and new topics include the QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates. The author uses the ggplot2 graphics package in addition to base graphics.

Catalog no. K14039, July 2014 ISBN: 978-1-4398-8733-2, $89.95 / £57.99 Also available as an eBook

Jessica Hwang Stanford University, California, USA

Assuming one semester of calculus, this text introduces probability to undergraduate students who want to learn statistics. It clearly explains the importance of widely used distributions in statistics 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.

Catalog no. K16714, August 2014, c. 616 pp.

ISBN: 978-1-4665-7557-8, $99.95 / £63.99

Coming soon!

Coming soon!

Introduction to Multivariate Analysis

Mixed Effects Models for the Population Approach

Linear and Nonlinear Modeling Sadanori Konishi Chuo University, Tokyo, Japan

This book describes the concepts of linear and nonlinear multivariate techniques, including regression modeling, classification, discrimination, dimension reduction, and clustering. It explains how to use these to extract patterns from data and understand random phenomena. The book includes real data sets from bioinformatics, engineering, pattern recognition, marketing, and Earth and environmental sciences.

Catalog no. K16322, June 2014, c. 339 pp.

ISBN: 978-1-4665-6728-3, $89.95 / £57.99 Also available as an eBook

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Models, Tasks, Methods and Tools Marc Lavielle INRIA Saclay, Orsay, France

This book presents wide-ranging coverage of parametric modeling in linear and nonlinear mixed-effects models. Using these models, readers can perform parameter estimation 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. It also includes numerous case studies and illustrates the use of the MONOLIX software.

Catalog no. K22488, July 2014, c. 383 pp.

ISBN: 978-1-4822-2650-8, $89.95 / £57.99 Also available as an eBook

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Biostatistics & Epidemiology Joint Models for Longitudinal and Time-toEvent Data

Bayesian Methods in Health Economics

With Applications in R

Gianluca Baio University College London, UK

Dimitris Rizopoulos

After an introduction to the basic economic concepts and methods of evaluation, this book presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis, and hierarchical and Markov models.

The text uses WinBUGS and JAGS, with datasets and code available online.

Erasmus University Medical Center, Rotterdam, Netherlands

“I particularly liked the sections on numerical methods … . The dreaded problem of non-convergence is met head-on, with an illustration and discussion of how a little knowledge of the fitting algorithms can help to overcome such problems. This alone is worth the price of the book! … a very well-crafted introduction to an active research area that I would recommend to anyone interested in getting into this field or in learning to analyze such data.”

—Geoff Jones, Australian & New Zealand Journal of Statistics, 2013

Catalog no. K13371, June 2012, 275 pp.

ISBN: 978-1-4398-7286-4, $83.95 / £51.99 Also available as an eBook

Catalog no. K14236, November 2012, 243 pp.

ISBN: 978-1-4398-9555-9, $93.95 / £59.99 Also available as an eBook

Applied Medical Statistics Using SAS

Regression Models as a Tool in Medical Research

Geoff Der

Werner Vach

University of Glasgow, Scotland

Institute of Medical Biometry and Medical Informatics, Freiburg, Germany

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

“Applied Medical Statistics Using SAS is a thorough documentation of statistical methods, inclusive of medical data sets and SAS code. The book would make an excellent reference guide for medical data analysts with access to base SAS 9.3 or a textbook for an introductory and intermediate graduate biostatistics course. … The thoroughness of procedures and the consideration the authors included in the selection of graphs, SAS code, and theory allow this book to be a resourceful companion for medical analysts.”

—Journal of Statistical Software, Volume 52, January 2013

Catalog no. K13087, October 2012, 559 pp.

ISBN: 978-1-4398-6797-6, $93.95 / £59.99 Also available as an eBook

“The book can be a very helpful contribution, especially for researchers in medical sciences when performing their statistical analyses and trying to interpret the results obtained. … This book provides plenty of practical knowledge about these basic models and also some of their extensions that are often not easy to find from statistical textbooks or from software manuals. The basic methods are well explained and illustrated by numerous practical examples, mainly using simulated datasets.”

—Tapio Nummi, International Statistical Review (2013), 81

Catalog no. K15111, November 2012, 495 pp.

ISBN: 978-1-4665-1748-6, $93.95 / £59.99 Also available as an eBook

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

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Biostatistics & Epidemiology Bayesian Disease Mapping

Applied MetaAnalysis with R

Hierarchical Modeling in Spatial Epidemiology, Second Edition

University of Rochester, New York, USA

Ding-Geng (Din) Chen

Andrew B. Lawson Medical University of South Carolina, Charleston, USA

This second edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. A biostatistics professor and WHO advisor, the author illustrates the use of Bayesian hierarchical modeling in the geographical analysis of disease through a range of real-world datasets. This edition includes new chapters on regression and ecological analysis, putative hazard modeling, and disease map surveillance as well as new appendices featuring examples of INLA and CAR models. It also presents expanded material on case event modeling and spatiotemporal analysis.

Catalog no. K14543, March 2013, 396 pp.

ISBN: 978-1-4665-0481-3, $89.95 / £57.99 Also available as an eBook

Randomized Phase II Cancer Clinical Trials Sin-Ho Jung Duke University, Durham, North Carolina, USA

Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, USA

This book provides detailed, step-by-step explanations of the implementation of meta-analysis methods using R. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, the authors introduce various methods for analyzing meta-data. They then develop analysis code using the appropriate R packages and functions. This systematic approach helps readers thoroughly understand the analysis methods and R implementation, enabling them to use R and the methods to analyze their own meta-data.

Catalog no. K14600, May 2013, 342 pp.

ISBN: 978-1-4665-0599-5, $89.95 / £57.99 Also available as an eBook

Survival Analysis in Medicine and Genetics Jialiang Li

“… an excellent book covering various practical phase II designs with their associated statistical methods for cancer clinical trials. It is an asset to statistical professionals who work at industry or academia and would like to learn more about or improve their understanding of phase II trial design and methods for cancer clinical trials. The book can also be used as a textbook for graduate students with a statistical major.”

—Steven Sun, Janssen Research Development

Catalog no. K13295, May 2013, 244 pp.

ISBN: 978-1-4398-7185-0, $89.95 / £57.99 Also available as an eBook

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Karl E. Peace

National University of Singapore

Shuangge Ma Yale University, New Haven, Connecticut, USA

Using real data sets throughout, this text introduces the latest methods for analyzing high-dimensional survival data. With an emphasis on the applications of survival analysis techniques in genetics, it presents a statistical framework for burgeoning research in this area and offers a set of established approaches for statistical analysis. The book reveals a new way of looking at how predictors are associated with censored survival time and extracts novel statistical genetic methods for censored survival time outcome from the vast amount of research results in genomics.

Catalog no. K14175, June 2013, 381 pp.

ISBN: 978-1-4398-9311-1, $99.95 / £63.99 Also available as an eBook

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Biostatistics & Epidemiology Optimal Design for Nonlinear Response Models Valerii V. Fedorov Quintiles, Durham, North Carolina, USA

Sergei L. Leonov AstraZeneca, Wilmington, Delaware, USA

Drawing on the authors’ many years of experience in academia and the pharmaceutical industry, this book discusses the theory and applications of model-based experimental design with a strong emphasis on biopharmaceutical studies. While the focus is on nonlinear models, the book begins with an explanation of the key ideas, using linear models as examples. It then covers nonlinear models and locally optimal designs as well as minimax, optimal on average, and Bayesian designs. The authors also discuss adaptive designs, focusing on procedures with non-informative stopping.

Catalog no. K11140, July 2013, 402 pp.

ISBN: 978-1-4398-2151-0, $89.95 / £57.99 Also available as an eBook

Handbook of Survival Analysis

Statistical and Computational Methods in Brain Image Analysis Moo K. Chung University of Wisconsin-Madison, USA

The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. Unfortunately, few research papers or books in the field describe the quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB® and case study data sets, this is the first book to explicitly explain how to perform statistical analysis on brain imaging data.

Catalog no. K11644, July 2013, 416 pp.

ISBN: 978-1-4398-3635-4, $99.95 / £63.99 Also available as an eBook

Biosimilars Design and Analysis of Follow-on Biologics

Edited by

Shein-Chung Chow

John P. Klein, Hans C. van Houwelingen, Joseph G. Ibrahim, and Thomas H. Scheike

Duke University School of Medicine, Durham, North Carolina, USA

Survival analysis is an area of statistics that deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.

With chapters written by leading researchers in the field, this handbook presents modern techniques and research problems in lifetime data analysis. The book focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field.

Catalog no. K15384, July 2013, 656 pp.

ISBN: 978-1-4665-5566-2, $99.95 / £63.99 Also available as an eBook

Written by a top biostatistics researcher, this is the first book entirely devoted to the statistical design and analysis of biosimilarity and interchangeability of biosimilar products. It includes comparability tests of important quality attributes at critical stages of the manufacturing processes of biologic products. The book focuses on the scientific factors and practical issues related to the design and analysis of biosimilar studies. It covers most of the statistical questions encountered in various study designs at different stages of research and development of biological products.

Catalog no. K16860, July 2013, 444 pp.

ISBN: 978-1-4665-7969-9, $89.95 / £57.99 Also available as an eBook

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

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Biostatistics & Epidemiology Bayesian Methods in Epidemiology

New!

Lyle D. Broemeling Broemeling and Associates, Medical Lake, Washington, USA

Authored by a biostatistics expert with over 20 years of experience in the field, this book is the first to introduce epidemiology from a Bayesian perspective. It shows epidemiologists how Bayesian models and techniques are useful in studying the association between disease and exposure to risk factors. With many examples and end-of-chapter exercises, the book employs the software package WinBUGS to carry out the analyses and offers the code in the text and for download online.

Catalog no. K16074, August 2013, 464 pp.

ISBN: 978-1-4665-6497-8, $89.95 / £57.99 Also available as an eBook

Statistical Analysis of Human Growth and Development Yin Bun Cheung Designed for non-statisticians and statisticians new to the analysis of growth and development data, this accessible, practical guide presents a wide range of basic and advanced statistical methods that are useful for studying human growth and development. It collects methods scattered throughout the literature and explains how to use them to solve common research problems. It also discusses how well a method addresses a specific scientific question and how to interpret and present the analytic results. Stata codes are available on the book’s CRC Press web page.

Catalog no. K13277, October 2013, 378 pp.

ISBN: 978-1-4398-7154-6, $99.95 / £63.99 Also available as an eBook

New!

New!

Theory of Drug Development

Benefit-Risk Assessment in Pharmaceutical Research and Development

Eric B. Holmgren This book focuses on the efficient development of drugs and the quantification of evidence in drug development. It presents a formal quantitative framework for understanding drug development that goes beyond simply describing the properties of the statistics in individual studies. Examining the drug development process from the perspectives of both drug companies and regulatory agencies, the author provides a rationale for underpowered phase 2 trials based on the notion of efficiency and develops a framework for evaluating the strength of evidence generated by clinical trials.

Catalog no. K14671, October 2013, 261 pp.

ISBN: 978-1-4665-0746-3, $89.95 / £57.99 Also available as an eBook

Edited by

Andreas Sashegyi, James Felli, and Rebecca Noel Eli Lilly and Company, Indianapolis, Indiana, USA

Bringing together the expertise of 15 contributors from academia and the industry, this book offers an easy-to-read guide to the various facets of benefit-risk assessment in the major stages of pharmaceutical R&D, from early clinical development to late-stage development to regulatory review to post-launch assessment. Suitable for those in both technical and managerial roles, it enables readers to communicate more effectively across their development chain as well as rationally and thoughtfully embed benefit-risk assessment into their R&D processes.

Catalog no. K13085, November 2013, 220 pp.

ISBN: 978-1-4398-6794-5, $89.95 / £57.99 Also available as an eBook

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Biostatistics & Epidemiology New!

New!

PatientReported Outcomes

Clinical and Statistical Considerations in Personalized Medicine

Measurement, Implementation and Interpretation Joseph C. Cappelleri, Kelly H. Zou, Andrew G. Bushmakin, Jose Ma. J. Alvir, Demissie Alemayehu, and Tara Symonds Advancing the development, validation, and use of PRO measures, this book helps readers develop and enrich their understanding of PRO methodology, particularly from a quantitative perspective. Designed for biopharmaceutical researchers and others in the health sciences community, it provides an up-to-date volume on conceptual and analytical issues of PRO measures. The authors include many real-life applications and implement a wealth of simulated datasets to illustrate concepts. Most chapters contain SAS code and output that demonstrate the methodology.

Catalog no. K13411, December 2013, 351 pp.

ISBN: 978-1-4398-7367-0, $99.95 / £63.99 Also available as an eBook

New!

Randomised ResponseAdaptive Designs in Clinical Trials Anthony C. Atkinson and Atanu Biswas This book presents methods for the randomized allocation of treatments to patients in sequential clinical trials. Emphasizing the practical application of clinical trial designs, the book is designed for medical and applied statisticians, clinicians, and statisticians in training. The authors compare various designs of clinical trials, include real examples of clinical trials, and present simulations of many procedures for small to moderate-sized samples. They also use results from the optimum design of experiments to create powerful and flexible adaptive designs.

Catalog no. C6935, December 2013, 339 pp.

ISBN: 978-1-58488-693-8, $89.95 / £57.99 Also available as an eBook

Edited by

Claudio Carini, Sandeep M. Menon, and Mark Chang 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 medicine-related topics, including epigenetics, adaptive designs, statistical methods, regulatory issues, and more.

Catalog no. K20653, April 2014, c. 358 pp.

ISBN: 978-1-4665-9386-2, $89.95 / £57.99 Also available as an eBook

New!

Basic Statistics and Pharmaceutical Statistical Applications Third Edition James E. De Muth University of Wisconsin-Madison, USA

This book serves as an introduction to statistics for undergraduate and graduate students in pharmacy as well as a reference guide for professionals in various pharmacy settings. Designed specifically for non-statisticians, the text avoids heavy mathematics and concentrates on the practical application of the most commonly employed statistical tests. This edition introduces new statistical tests and includes Excel and Minitab® applications for descriptive and inferential statistics.

Catalog no. K20792, April 2014, c. 837 pp.

ISBN: 978-1-4665-9673-3, $89.95 / £57.99 Also available as an eBook

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Biostatistics & Epidemiology Coming soon!

Computational Statistics Dynamic Documents with R and knitr

Writing Dissertation and Grant Proposals

Yihui Xie Iowa State University, Ames, USA

Epidemiology, Preventive Medicine and Biostatistics Lisa Chasan-Taber University of Massachusetts, Amherst, USA

This book covers all aspects of the scientific proposalwriting process, from structure and style to obtaining research grant funding. Organized much like a research proposal, the book explains how to identify a research topic, draft a hypothesis, conduct a literature review, describe methods for data collection and analysis, and present the proposal. The final section explores strategies for putting together a winning NIH proposal and responding to reviewer comments.

Concepts are illustrated with examples, applications, exercises, and guideline checklists.

“If you are looking to learn how to use knitr, this book is for you. There are a limited number of resources for learning knitr because the package is relatively new and the documentation produced by Xie is so good. … I think this book will continue to be the best resource about knitr … easy to understand … this is a great read and handy desk reference for the regular knitr user.”

—Journal of Statistical Software, January 2014

Catalog no. K21320, July 2013, 216 pp., Soft Cover ISBN: 978-1-4822-0353-0, $59.95 / £38.99

Catalog no. K14871, May 2014, c. 442 pp.

Soft Cover, ISBN: 978-1-4665-1206-1 $59.95 / £38.99 Also available as an eBook

New!

Epidemiology Study Design and Data Analysis, Third Edition

Christopher Gandrud Hertie School of Governance, Berlin, Germany

Mark Woodward University of Oxford, UK; University of Sydney, Australia; and Johns Hopkins University, Baltimore, Maryland, USA

Updated and expanded, this popular text focuses on the quantitative aspects of epidemiological research. It 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.

Catalog no. K11828, December 2013, 898 pp.

ISBN: 978-1-4398-3970-6, $99.95 / £49.99 Also available as an eBook

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Reproducible Research with R and RStudio

Bringing together computational research tools in one accessible source, this book guides readers in creating dynamic and highly reproducible research. Whether an advanced user or just getting started with tools such as R and LaTeX, the book saves readers time searching for information and helps them successfully carry out computational research. It provides a practical reproducible research workflow for gathering and analyzing data as well as dynamically presenting results in print and on the web. Supplementary materials are available on the author’s website.

Catalog no. K16624, July 2013, 294 pp.

Soft Cover, ISBN: 978-1-4665-7284-3 $69.95 / £44.99

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Computational Statistics New!

Implementing Reproducible Research Edited by

Victoria Stodden, Friedrich Leisch, and Roger D. Peng 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.

Catalog no. K15945, April 2014, c. 448 pp.

ISBN: 978-1-4665-6159-5, $79.95 / £49.99 Also available as an eBook

New!

Using R for Numerical Analysis in Science and Engineering Victor A. Bloomfield University of Minnesota, Minneapolis, USA

This book shows how the free and open-source R environment can be used as a powerful and comprehensive platform for the kinds of numerical analysis that are traditionally employed by MATLAB®. With R code fully integrated, the book offers brief descriptions of basic approaches and emphasizes detailed worked examples. It covers functions in the base installation of R as well as those in contributed packages, which greatly enhance the numerical analysis capabilities of R. Catalog no. K13976, April 2014, c. 359 pp.

ISBN: 978-1-4398-8448-5, $89.95 / £57.99 Also available as an eBook

Coming soon!

New!

Multilevel Modeling Using R

Analyzing Baseball Data with R

W. Holmes Finch, Jocelyn E. Bolin, and Ken Kelley

Max Marchi

This book presents the theory and practice of major multilevel modeling techniques in a variety of contexts using R as the software tool. It describes the applications and extensions of multilevel modeling with special emphasis on the use of R to conduct the analyses and interpret the resulting output. The book is designed for researchers, data analysts, and upper-level undergraduate and graduate students taking a course on multilevel modeling or statistical modeling. Example data and programs are available for download online.

Bowling Green State University, Ohio, USA

Catalog no. K15056, June 2014, c. 192 pp.

Soft Cover, ISBN: 978-1-4665-1585-7 $49.95 / £31.99 Also available as an eBook

Catalog no. K16473, October 2013, 352 pp.

Soft Cover, ISBN: 978-1-4665-7022-1 $39.95 / £25.99

Cleveland Indians, Ohio, USA

Jim Albert 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.

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

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Computational Statistics Programming Graphical User Interfaces in R Michael Lawrence Genentech Research and Early Development, South San Francisco, California, USA

John Verzani CUNY/College of Staten Island, New York, USA

This book shows programmers and users how to develop their own GUIs, enabling them to interface with other languages. The text opens the possibilities of R’s huge and growing set of statistical methods. The authors cover four different packages for writing GUIs: gWidgets, RGtk2, Qt, and Tcl Tk. Supported by a package in CRAN that contains all of the code along with additional examples, the text is filled with numerous examples ranging from the very simple to detailed illustrations of how to code actual interfaces.

The BUGS Book A Practical Introduction to Bayesian Analysis David Lunn, Chris Jackson, Nicky Best, Andrew Thomas, and David Spiegelhalter “… strikes the right distance between advanced theory and pure practice. … The BUGS Book is not only a major textbook on a topical subject, but it is also a mandatory one for all statisticians willing to learn and analyze data with Bayesian statistics at any level. It will be the companion and reference book for all users (beginners or advanced) of the BUGS software. I have no doubt it will meet the same success as BUGS and become very soon a classic in the literature of computational Bayesian statistics.”

—Jean-Louis Fouley, CHANCE, 2013

Catalog no. K12672, June 2012, 479 pp.

ISBN: 978-1-4398-5682-6, $83.95 / £51.99 Also available as an eBook

Catalog no. C8490, October 2012, 399 pp.

Soft Cover, ISBN: 978-1-58488-849-9 $52.95 / £25.99 Also available as an eBook

New!

Coming soon!

Foundations of Statistical Algorithms

With Examples in R

Bayesian Networks Marco Scutari Jean-Baptiste Denis

With References to R Packages

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

Claus Weihs, Olaf Mersmann, and Uwe Ligges TU Dortmund University, Germany

This book reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. It also touches on topics not usually covered in similar books, namely, systematic verification and the scaling of many established techniques to very large databases. The authors provide examples, exercises, and selected solutions in each chapter, with supplemental material online.

Catalog no. K13688, December 2013, 500 pp.

ISBN: 978-1-4398-7885-9, $79.95 / £38.99

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This text introduces graduate students to Bayesian networks using a hands-on approach through simple yet meaningful examples in R. It explains the whole process of Bayesian network modeling, from structure learning to parameter learning to inference. The book describes discrete Bayesian, Gaussian Bayesian, and mixed networks. It gives a concise but rigorous treatment of the fundaments of Bayesian networks and offers an introduction to causal Bayesian networks. It also evaluates real-world examples, including a landmark causal protein signaling network paper and graphical modeling approaches for predicting body composition.

Catalog no. K22427, July 2014, c. 240 pp.

ISBN: 978-1-4822-2558-7, $89.95 / £57.99 Also available as an eBook

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Computational Statistics New!

Coming soon!

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

Introduction to Scientific Programming and Simulation Using R

Oscar Perpinan Lamigueiro ETSIDI-UPM, Madrid, Spain

Focusing on the exploration of data with visual methods, this book presents methods and R code for producing high-quality 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.

Catalog no. K16087, April 2014, c. 208 pp.

ISBN: 978-1-4665-6520-3, $79.95 / £49.99 Also available as an eBook

Second Edition Owen Jones, Robert Maillardet, and Andrew Robinson University of Melbourne, Parkville, Australia

Suitable for researchers and students in science, business, economics, and engineering, this best-selling book provides an introduction to scientific programming, stochastic modeling, and simulation using R. This second edition contains new chapters on ODEs and Markov chains, including simulation. It also adds material on handling dates and programming and includes new exercises and student projects. A supplementary website offers code and answers to selected exercises.

Catalog no. K16464, May 2014, 600 pp.

ISBN: 978-1-4665-6999-7, $79.95 / £49.99

New!

Coming soon!

Multiple Factor Analysis by Example Using R

Data Management, Statistical Analysis, and Graphics, Second Edition

Jérôme Pagès Agrocampus-Ouest, Rennes, France

Multiple factor analysis (MFA) is an extension of classical factor analysis when the data is structured in a group, such as in a questionnaire that covers various topics with several questions under each topic. This kind of data occurs in numerous social and behavioral science areas, including education, psychology, and sensory science. Written by the original developer of the methodology, this book illustrates how to use MFA for studying data. It presents an overview of the methodology and includes many worked examples and an R package for the analyses.

Catalog no. K21451, April 2014, c. 272 pp.

ISBN: 978-1-4822-0547-3, $89.95 / £57.99 Also available as an eBook

SAS and R

Ken Kleinman Harvard University, Boston, Massachusetts, USA

Nicholas J. Horton Amherst College, Massachusetts, USA

This widely praised book shows how equivalent statistical methods can be applied in either SAS or R, enabling users of each software package to learn how to apply the methods in the other. The book covers data management, simple statistical procedures, modeling, regression, and graphics. This second edition includes new entries on various statistical procedures. It also presents many new examples covering simulation, probability, statistics, mathematics/computing, and graphics.

Catalog no. K19040, June 2014, 344 pp.

ISBN: 978-1-4665-8449-5, $79.95 / £49.99

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

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Computational Statistics Coming soon!

Coming soon!

A Handbook of Statistical Analyses using R

A Handbook of Statistical Graphics Using SAS

Third Edition

Geoff Der

Torsten Hothorn

University of Glasgow, Scotland

University of Zurich, Switzerland

Brian S. Everitt

Brian S. Everitt

Professor Emeritus, Institute of Psychiatry, King’s College, London, UK

Professor Emeritus, Institute of Psychiatry, King’s College, London, UK

One of the leading references on analyzing data using R, this third edition has been updated with much more descriptive text to support the computer code.

Along with many new references, datasets, and exercises, this edition includes new chapters on Bayesian methods, missing data and imputation, and spatial methods. The book is supported by an R package and provides all the data and code online.

Catalog no. K21384, June 2014, c. 448 pp.

Soft Cover, ISBN: 978-1-4822-0458-2 $64.95 / £39.99

Handbook of SAS® DATA Step Programming Arthur Li City of Hope National Medical Center, Los Angeles County, California, USA

“… a thorough introduction to the statements and functionalities of the SAS DATA step. The book can be used as an introductory tutorial for beginning SAS programmers or as a reference book for experienced users. …

Many users of DATA step have a strong statistical background, but not all of them really try to understand DATA step as a programming language. The Handbook of SAS DATA Step Programming covers this gap and helps statisticians improving their programming efficiency using SAS DATA step.”

—Journal of Statistical Software, January 2014

Catalog no. K15213, April 2013, 275 pp.

ISBN: 978-1-4665-5238-8, $59.95 / £38.99 Also available as an eBook

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This handbook shows how to use SAS to create many different types of useful statistical graphics for exploring data and diagnosing fitted models. The book focuses on the relatively new SAS ODS graphics, including graphs that are produced routinely via ODS and more tailored graphics. Each chapter includes exercises and deals graphically with several sets of data from a wide variety of areas.

Catalog no. K20932, August 2014, c. 192 pp.

ISBN: 978-1-4665-9903-1, $69.95 / £44.99

Discovering Structural Equation Modeling Using Stata 13 Revised Edition Alan C. Acock Oregon State University, Corvallis, USA

This practical guide explores all the features of Stata’s sem command. This revised edition includes output, syntax, and instructions for fitting models with the Stata 13 SEM Builder. It shows how this graphical interface allows users to draw publication-quality path diagrams and fit the models without writing any programming code. Each model is presented along with the necessary Stata code. The datasets used are available for download online.

Catalog no. N11029, September 2013, 306 pp.

Soft Cover, ISBN: 978-1-59718-139-6 $79.95 / £49.99

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Computational Statistics Introduction to Time Series Using Stata Sean Becketti This book provides a step-bystep guide to essential time series techniques—from the incredibly simple to the quite complex. At the same time, it demonstrates how these techniques can be applied in the Stata statistical package.

Emphasis is on understanding the underlying theoretical innovations and the ability to apply them. Realworld examples illustrate the application of each concept as it is introduced. The author highlights the pitfalls and power of each new tool.

Catalog no. N10838, January 2013, 741 pp.

Soft Cover, ISBN: 978-1-59718-132-7 $79.95 / £49.99

Probability and Statistics for Computer Scientists Second Edition Michael Baron University of Texas at Dallas, Richardson, USA

Meeting the ABET requirements for probability and statistics, this text helps readers 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. The book also includes numerous computer science applications and worked examples.

• Leads readers from probability fundamentals to stochastic processes, Markov chains, queuing systems, and Monte Carlo methods—topics frequently missing from standard textbooks

Methods of Statistical Model Estimation Joseph M. Hilbe California Institute of Technology, Pasadena, and Arizona State University, Tempe, USA

Andrew P. Robinson University of Melbourne, Parkville, Australia

This book examines the most important and popular methods used to estimate parameters for statistical models and to provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting. It presents algorithms for the estimation of various regression procedures using maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed, working R code is constructed for each method.

Catalog no. K12707, May 2013, 255 pp.

ISBN: 978-1-4398-5802-8, $89.95 / £57.99 Also available as an eBook

• Provides MATLAB codes for simulation, computation, and data analysis • Contains many detailed examples that have direct applications to computer science and related areas • Summarizes the main concepts at the end of each chapter and reviews the necessary calculus and linear algebra in the appendix • Presents over 260 exercises for homework assignments and self-training—including 60 new to this edition

Selected Contents: Introduction and Overview. Probability and Random Variables: Probability. Discrete Random Variables and Their Distributions. Continuous Distributions.

Computer Simulations and Monte Carlo Methods.

Stochastic Processes: Stochastic Processes. Queuing Systems. Statistics: Introduction to Statistics.

Statistical Inference I. Statistical Inference II. Regression. Appendix. Index.

Catalog no. K13525, August 2013, 473 pp.

ISBN: 978-1-4398-7590-2, $99.95 / £63.99 Also available as an eBook

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

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Data Mining & Machine Learning New!

New!

Bayesian Programming

Mining User Generated Content

Pierre Bessiere, Emmanuel Mazer, Juan Manuel Ahuactzin, and Kamel Mekhnacha “Bayesian Programming comprises a methodology, a programming language, and a set of tools for developing and applying … complex models. … The approach is described in great detail, with many worked examples backed up by an online code repository. Unlike other books that tend to focus almost entirely on mathematics, this one gives equal time to conceptual and methodological guidance for the model-builder. It grapples with the knotty problems that arise in practice, some of which do not yet have clear solutions.”

—Stuart Russell, University of California, Berkeley

Catalog no. K13774, December 2013, 380 pp.

ISBN: 978-1-4398-8032-6, $89.95 / £57.99 Also available as an eBook

Edited by

Marie-Francine Moens, Juanzi Li, and Tat-Seng Chua This volume is the first focused effort to compile state-of-theart research and address future directions of UGC. It explains how to collect, index, and analyze UGC to uncover social trends and user habits. The book describes how to mine various media, including social annotation, music information retrieval, and networks, and discusses the mining and searching of different types of UGC, such as Wikis and blogs. It also presents many applications of UGC, including the use of UGC to answer questions and summarize information.

Catalog no. K15468, January 2014, 474 pp.

ISBN: 978-1-4665-5740-6, $99.95 / £63.99 Also available as an eBook

New!

New!

Data Classification

Multilinear Subspace Learning

Algorithms and Applications Edited by

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

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 and discusses advanced methods for enhancing the quality of the underlying classification results.

Catalog no. K20307, April 2014, c. 705 pp.

ISBN: 978-1-4665-8674-1, $89.95 / £57.99 Also available as an eBook

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Dimensionality Reduction of Multidimensional Data Haiping Lu, Konstantinos N. Plataniotis, and Anastasios Venetsanopoulos Emphasizing essential concepts and system-level perspectives, this book provides a foundation for solving many of today’s most interesting and challenging problems in big multidimensional data processing. It gives a comprehensive introduction to both theoretical and practical aspects of MSL for the dimensionality reduction of multidimensional data based on tensors. The book follows a unifying MSL framework formulation to systematically derive representative MSL algorithms. It describes various applications of the algorithms, along with their pseudocode. Supporting materials are available online.

Catalog no. K12681, December 2013, 296 pp.

ISBN: 978-1-4398-5724-3, $89.95 / £57.99 Also available as an eBook

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Data Mining & Machine Learning New!

Multi-Label Dimensionality Reduction Liang Sun, Shuiwang Ji, and Jieping Ye Arizona State University, Tempe, USA

The data mining and machine learning literature currently lacks a unified treatment of multi-label dimensionality reduction that incorporates both algorithmic developments and applications. Addressing this shortfall, this book covers the methodological developments, theoretical properties, computational aspects, and applications of many multi-label dimensionality reduction algorithms, including existing dimensionality reduction algorithms and new developments of traditional algorithms. It illustrates how to apply the algorithms to solve real-world problems. A supplementary website provides a MATLAB® package for implementing popular algorithms.

Catalog no. K10304, November 2013, 208 pp.

ISBN: 978-1-4398-0615-9, $89.95 / £57.99 Also available as an eBook

New!

RapidMiner Data Mining Use Cases and Business Analytics Applications Edited by

Markus Hofmann Institute of Technology Blanchardstown, Dublin, Ireland

Ralf Klinkenberg Rapid-I, Dortmund, Germany

Written by leaders in the data mining community, including the developers of the RapidMiner software, this book provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The book and software tools cover all relevant steps of the data mining process. The software and their extensions can be freely downloaded at www.RapidMiner.com.

Catalog no. K21452, October 2013, 525 pp.

ISBN: 978-1-4822-0549-7, $89.95 / £57.99 Also available as an eBook

Data Clustering Algorithms and Applications Edited by

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

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

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 emphasize recent issues in graphs, social networks, and other domains and explore the characteristics of clustering problems in a variety of application areas. They also explain 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.

Catalog no. K15510, August 2013, 652 pp.

ISBN: 978-1-4665-5821-2, $99.95 / £63.99 Also available as an eBook

Practical Graph Mining with R Edited by

Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, and Arpan Chakraborty Assuming no prior knowledge of mathematics or data mining, this self-contained book presents a “do-it-yourself” approach to extracting interesting patterns from graph data. Each chapter focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through many applications, the book demonstrates how computational techniques can help solve real-world problems.

Algorithms and examples are accompanied with R code, allowing readers to see how the algorithmic techniques correspond to the process of graph data analysis and to use the graph mining techniques in practice.

Catalog no. K12799, July 2013, 495 pp.

ISBN: 978-1-4398-6084-7, $79.95 / £49.99

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

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Statistics for the Social & Behavioral Sciences Coming soon!

New!

Age-PeriodCohort Models

Growth Curve Analysis and Visualization Using R

Approaches and Analyses with Aggregate Data

Daniel Mirman

Robert M. O’Brien University of Oregon, Eugene, USA

One of the first to do so, this book integrates the major approaches to APC analysis for aggregate-level data, such as uniform crime reports, vital statistics, and census data. It connects the traditional methods of constrained estimation, estimation using cohort (or age or period) characteristics, estimable functions, the over-identification approach of Winship and Harding, variance decomposition, and a sufficient condition for age, period, or cohort effects.

Catalog no. K15175, July 2014, c. 208 pp.

ISBN: 978-1-4665-5153-4, $79.95 / £49.99 Also available as an eBook

Age-PeriodCohort Analysis New Models, Methods, and Empirical Applications Yang Yang University of North Carolina, Chapel Hill, USA

Kenneth C. Land Duke University, Durham, North Carolina, USA

This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs. They show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. Software and other materials are available online.

Catalog no. K14675, February 2013, 352 pp.

ISBN: 978-1-4665-0752-4, $79.95 / £49.99 Also available as an eBook

26

Moss Rehabilitation Institute, Elkins Park, Pennsylvania, USA

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. 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. Throughout the book, 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.

Catalog no. K19032, February 2014, 188 pp.

ISBN: 978-1-4665-8432-7, $79.95 / £49.99 Also available as an eBook

New!

Analyzing Spatial Models of Choice and Judgment with R David A. Armstrong, II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal 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.

Catalog no. K15094, February 2014, 352 pp.

ISBN: 978-1-4665-1715-8, $69.95 / £44.99 Also available as an eBook

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Statistics for the Social & Behavioral Sciences New!

Computerized Multistage Testing Theory and Applications Edited by

Duanli Yan, Alina A. von Davier, and Charles Lewis Educational Testing Service, Princeton, New Jersey, USA

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.

Catalog no. K14586, April 2014, c. 552 pp.

ISBN: 978-1-4665-0577-3, $89.95 / £57.99 Also available as an eBook

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS Second Edition Robert Ho Assumption University of Thailand, Bangkok

This accessible handbook explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. Updated with the SPSS statistical package for Windows, this second edition now covers tests of assumptions and how to deal with missing data. It also offers three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation and expands coverage of factor analysis, path analysis, and structural equation modeling. Data sets are available on the book’s CRC Press web page.

Catalog no. K14105, October 2013 ISBN: 978-1-4398-9021-9, $89.95 / £57.99 Also available as an eBook

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables Michael Smithson The Australian National University, Canberra

Edgar C. Merkle University of Missouri, Columbia, USA

Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models for categorical and limited dependent variables. It also highlights extensions of models to include mixed models and Bayesian MCMC estimation. Using R, the book incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages.

Catalog no. K15187, September 2013, 308 pp.

ISBN: 978-1-4665-5173-2, $89.95 / £57.99 Also available as an eBook

Incomplete Categorical Data Design Non-Randomized Response Techniques for Sensitive Questions in Surveys Guo-Liang Tian The University of Hong Kong

Man-Lai Tang Hong Kong Baptist University

A self-contained, systematic introduction, this book shows how to draw valid statistical inferences from survey data with sensitive characteristics. It guides readers in applying the non-randomized response approach in surveys and new non-randomized response designs. The techniques covered integrate the strengths of existing approaches, including randomized response models, incomplete categorical data design, the EM algorithm, the bootstrap method, and the data augmentation algorithm. All R codes for the examples are available online.

Catalog no. K12579, August 2013, 319 pp.

ISBN: 978-1-4398-5533-1, $89.95 / £57.99 Also available as an eBook

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

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Statistics for the Social & Behavioral Sciences New!

New!

Nonparametric Statistics for Social and Behavioral Sciences

Handbook of International Large-Scale Assessment

M. Kraska-Miller Auburn University, Alabama, USA

Incorporating a hands-on pedagogical approach, this text presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM’s SPSS software. The text is the only current nonparametric book written specifically for students in the behavioral and social sciences. With examples of real-life research problems, it emphasizes sound research designs, appropriate statistical analyses, and accurate interpretations of results.

• Explains common nonparametric statistical procedures for research designs in nontechnical terms • Includes examples of the procedures in real-life research problems • Requires no prerequisite courses in mathematics and statistics, presenting statistical formulas for illustration purposes only • Shows the connection between research and data analysis without burdening students with more technicalities than necessary • Illustrates data input methods using SPSS • Integrates many charts, graphs, and tables to help students visualize the data and results • Contains exercises and references in every chapter

Selected Contents: Introduction to Research in Social and Behavioral Sciences. Introduction to Nonparametric Statistics.

Analysis of Data to Determine Association and Agreement. Analyses for Two Independent Samples.

Analysis of Multiple Independent Samples. Analysis of Two Dependent Samples. Tests for Multiple Related Samples. Analysis of Single Samples. Index.

Catalog no. K14678, December 2013, 260 pp.

ISBN: 978-1-4665-0760-9, $89.95 / £57.99 Also available as an eBook

Background, Technical Issues, and Methods of Data Analysis Edited by

Leslie Rutkowski, Matthias von Davier, and David Rutkowski International large-scale assessments (ILSAs) of educational achievement, such as the Trends in International Mathematics and Science Study and the Programme for International Student Assessment, are an increasingly important part of the educational research and policy landscape in the United States and internationally. Bringing together recognized scholars in ILSA, behavioral statistics, and policy, this handbook provides a detailed guide for ILSA users that goes beyond current ILSA user manuals.

• Provides a resource for advanced analyses of ILSA data, including worked examples, data, and syntax • Offers insight from highly distinguished and prominent contributors to the ILSA field • Covers cutting-edge methods for dealing with operational issues unique to international assessment • Emphasizes assessment design, estimation methods, sampling, scale linking, and other topics related to primary analysis and reporting • Broadens methodological treatments of design features and analytic technologies to provide an overview of different perspectives on how to use the rich background questionnaires that are an important part of ILSAs • Presents both frequentist and Bayesian perspectives on applying structural equation models to ILSA data • Explains how to deal with sampling weights and missing data

Selected Contents: Policy and Research Relevance of International Large-Scale Assessment Data. Analytic Processes and Technical Issues around International Large-Scale Assessment Data. Advanced Analytic Methods for Analyzing International Large-Scale Assessment Data.

Catalog no. K14222, November 2013, 647 pp.

ISBN: 978-1-4398-9512-2, $89.95 / £59.99 Also available as an eBook

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Statistics for Life Sciences New!

Coming soon!

Foundational and Applied Statistics for Biologists Using R

Statistical Methods in Biology

Ken A. Aho Idaho State University, Pocatello, USA

Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts. R code and other materials are available online.

• Covers a wide range of analytical topics, including bootstrapping, Bayesian MCMC procedures, regression, model selection, GLMs, GAMs, nonlinear models, ANOVA, mixed effects models, and permutation approaches • Emphasizes the understanding of statistical foundations • Provides R code for all analyses and uses R to generate the figures • Includes many biological examples throughout and extensive exercises at the end of each chapter • Reviews linear algebra applications and additional mathematical reference material in the appendix • Offers an introduction to R and R code for each chapter on the author’s website

Selected Contents: FOUNDATIONS: Philosophical and Historical Foundations. Introduction to Probability. Probability Density Functions. Parameters and Statistics. Interval Estimation: Sampling Distributions, Resampling Distributions, and Simulation Distributions. Hypothesis Testing. Sampling Design and Experimental Design.

APPLICATIONS: Correlation. Regression. ANOVA. Tabular Analyses. Appendix. References. Index.

Catalog no. K13403, December 2013, 618 pp.

ISBN: 978-1-4398-7338-0, $69.95 / £44.99 Also available as an eBook

Design and Analysis of Experiments and Regression Suzanne Jane Welham, Salvador Alejandro Gezan, Suzanne Jane Clark, and Andrew Mead 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 text features extended discussions of examples that include real data sets arising from research. 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. • Provides an introduction to both experimental design and linear regression • Explains the practical application of the methods through real examples and the use of software • Focuses on examples and applications in the agricultural and biological sciences • Includes implementation of the methods in both GenStat and R • Offers problems and exercises in all the chapters

Selected Contents: Introduction. A Review of Basic Statistics. Principles for Designing Experiments. Models for a Single Factor.

Checking Model Assumptions. Transformations of the Response. Models with Simple Blocking Structure.

Extracting Information about Treatments. Models with Complex Blocking Structure. Replication and Power.

Dealing with Non-Orthogonality. Models for a Single Variate: Simple Linear Regression. Checking Model Fit. Models for Several Variates: Multiple Linear Regression.

Models for Variates and Factors. Incorporating Structure: Mixed Models. Models for Curved Relationships. Models for Non-Normal Responses: Generalized Linear Models. Practical Design and Data Analysis for Real Studies. References. Appendices.

Catalog no. K10432, July 2014, c. 552 pp.

ISBN: 978-1-4398-0878-8, $79.95 / £49.99 Also available as an eBook

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

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Statistics for Business, Finance, & Economics Coming soon!

New!

Quantitative Finance

Stochastic Finance

A Simulation-Based Introduction Using Excel

An Introduction with Market Examples

Matt Davison

Nanyang Technological University, Singapore

University of Western Ontario, London, Canada

“With this book, Matt Davison succeeds where many have failed: it provides a genuinely understandable introduction to quantitative finance that remains true to the excitement experienced by both practitioners and researchers in the field. … simulations on easily constructed spreadsheets give students exposure to the ‘real deal’ of the subject. Definitely recommended— the chapters on American options alone are worth the cover price.”

—Matheus Grasselli, The Fields Institute for Research in Mathematical Sciences

Catalog no. K13284, May 2014, c. 544 pp.

ISBN: 978-1-4398-7168-3, $79.95 / £49.99 Also available as an eBook

Nicolas Privault This text presents an introduction to pricing and hedging in financial models, with an emphasis on analytical and probabilistic methods. It demonstrates both the power and limitations of mathematical models in finance. The book starts with the basics of finance and stochastic calculus and builds up to special topics, such as options, derivatives, and credit default and jump processes. Many real examples illustrate the topics and classroom-tested exercises are included in each chapter, with selected solutions at the back of the book.

Catalog no. K20632, December 2013, 441 pp.

ISBN: 978-1-4665-9402-9, $79.95 / £49.99 Also available as an eBook

New!

New!

Quantitative Finance

Nonlinear Option Pricing

An Object-Oriented Approach in C++

Julien Guyon

Erik Schlogl

Pierre Henry-Labordere

University of Technology, Sydney, Australia

Société Générale, Paris, France

“The three core competencies of a successful quant: firm grasp of theory, strong command of numerical methods, and software design and development skills are taught in parallel, inseparable in the book as they are in the real world. A fantastic resource for students looking to become quants, the book sets a standard on how practically relevant quantitative finance should be taught. Those already in the field will also no doubt learn a thing or two on how to represent common financial constructs as logical and reusable software components.”

—Vladimir V. Piterbarg, Barclays

Catalog no. C4797, November 2013, 354 pp.

ISBN: 978-1-58488-479-8, $79.95 / £49.99 Also available as an eBook

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Bloomberg LP, New York, New York, USA

“Written by two leading quants at two leading financial houses, this book is a tour de force on the use of nonlinear PDEs in financial valuation.”

—Peter Carr, Morgan Stanley, and NYU Courant Institute of Mathematical Sciences

“In this unique and impressive book, the authors apply sophisticated modern tools of pure and applied mathematics, such as BSDEs and particle methods, to solve challenging nonlinear problems of real practical interest … No serious student of mathematical finance, whether practitioner or academic, can afford to be without it.”

—Jim Gatheral, Baruch College, CUNY, and author of The Volatility Surface

Catalog no. K16480, December 2013, 484 pp.

ISBN: 978-1-4665-7033-7, $79.95 / £49.99

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Statistics for Business, Finance, & Economics Stochastic Processes with Applications to Finance Second Edition Masaaki Kijima Tokyo Metropolitan University, Japan

This accessible text presents the mathematical theory of financial engineering using only basic mathematical tools that are easy to understand even for those with little mathematical expertise. This second edition covers several important developments in the financial industry. Along with many more examples, it includes a new chapter on the change of measures and pricing of insurance products, a new section on the use of copulas, and two new chapters that offer more coverage of interest rate derivatives and credit derivatives.

Catalog no. K13980, April 2013, 343 pp.

ISBN: 978-1-4398-8482-9, $89.95 / £57.99 Also available as an eBook

A Course on Statistics for Finance Stanley L. Sclove University of Illinois, Chicago, USA

This text presents statistical methods for financial investment analysis. Providing the connection between elementary statistics courses and quantitative finance courses, the book helps both existing and future quants improve their data analysis skills and better understand the modeling process. It incorporates applied statistics and mathematical statistics and requires no prior background in finance.

The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance.

Catalog no. K14149, December 2012, 269 pp.

ISBN: 978-1-4398-9254-1, $93.95 / £59.99 Also available as an eBook

Statistical Methods for Financial Engineering

Coming soon!

Bruno Remillard

Pietro Parodi

HEC Montreal, Quebec, Canada

Willis LTD., London, UK

This self-contained book guides current and future practitioners on implementing the most useful stochastic models used in financial engineering. Each chapter introduces powerful and practical statistical tools necessary to implement the models. Throughout the text, examples using MATLAB® illustrate the application of the techniques to solve real-world financial problems.

MATLAB and R programs are available on the author’s website.

This text provides a practical introduction to the activity of the pricing actuary in general insurance. Developed from the author’s courses on actuarial science at the Cass Business School, it closely follows the syllabus for the ST8 exam of the actuarial profession in the United Kingdom. The book is full of real examples to illustrate the various topics. It includes many exercises based on past ST8 exams, making it ideal for teaching or selfstudy.

Catalog no. K12677, April 2013, 496 pp.

ISBN: 978-1-4398-5694-9, $89.95 / £57.99 Also available as an eBook

Catalog no. K18873, July 2014, c. 400 pp.

ISBN: 978-1-4665-8144-9, $99.95 / £59.99 Also available as an eBook

Pricing in General Insurance

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

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Statistics for Business, Finance, & Economics New!

Computational Actuarial Science with R Edited by

Counterparty Risk and Funding A Tale of Two Puzzles

Arthur Charpentier University of Québec, Montreal, Canada

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 from CRAN. Catalog no. K20570, April 2014, c. 656 pp.

ISBN: 978-1-4665-9259-9, $89.95 / £57.99 Also available as an eBook

New!

Stéphane Crépey, Tomasz R. Bielecki, and Damiano Brigo “This timely contribution, written by world-class academics who are also wellrecognized experts in the field, offers a rigorous and comprehensive treatment of the main theories underpinning the new valuation principles.

Numerical examples are also provided to help the reader grasp key concepts and ideas of the advanced models and techniques here presented.

Overall, an excellent textbook. Brigo’s dialogue is the icing on the cake.”

—Fabio Mercurio, Bloomberg LP

Catalog no. K15071, April 2014, c. 388 pp.

ISBN: 978-1-4665-1645-8, $89.95 / £57.99

Introduction to Risk Parity and Budgeting

Financial and Actuarial Statistics

Thierry Roncalli

An Introduction, Second Edition

Lyxor Asset Management, Paris, France

Dale S. Borowiak University of Akron, Ohio, USA

Arnold F. Shapiro The Pennsylvania State University, University Park, USA

This work enables readers to obtain the mathematical and statistical background required in the current financial and actuarial industries. It also advances the application and theory of statistics in modern financial and actuarial modeling. This second edition adds a substantial amount of new material, including Excel exercises with solutions; nomenclature and notations standard to the actuarial field; a new chapter on Markov chains and actuarial applications; expanded discussions on simulation, surplus models, and ruin computations; and much more.

Catalog no. C8508, November 2013, 392 pp.

ISBN: 978-1-4200-8580-8, $89.95 / £57.99 Also available as an eBook

32

New!

“Thierry Roncalli’s book situates the risk parity approach, which has become very popular with investors and managers, in a broader conceptual and technical context, which is that of risk budgeting. This publication is a must for investors who wish to gain serious insight into risk allocation issues.”

—Noël Amenc, EDHEC Business School, EDHEC-Risk Institute, and ERI Scientific Beta

“Thierry Roncalli has pioneered risk parity as a practitioner. His exhaustive and rigorous book is now the reference on the subject.”

—Attilio Meucci, SYMMYS

Catalog no. K21545, July 2013, 440 pp.

ISBN: 978-1-4822-0715-6, $79.95 / £49.99

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CZN01_5.5x8.5_MC_revised_Temp 4/9/14 1:14 PM Page 33

Statistics for Business, Finance, & Economics New!

Computational Business Analytics Subrata Das Machine Analytics, Inc., Belmont, Massachusetts, USA

This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. The author first covers core descriptive and inferential statistics for analytics and then enhances numerical statistical techniques with symbolic artificial intelligence and machine learning techniques for richer predictive and prescriptive analytics. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies.

• Incorporates descriptive, predictive, and prescriptive analytics processes • Presents case studies that illustrate statistics-, AI-, and ML-based analytics systems in numerous domains, including loan processing, credit risk assessment, life status estimation, fraud detection, and customer sentiment analysis • Provides a refresher on the basics of analytics, along with the necessary mathematical and statistical preliminaries • Covers computational technologies for information extraction and text classification in text analyses • Contains an abundance of references to the theory of statistics and probability, AI, ML, control theory, and other relevant areas

Selected Contents: Analytics Background and Architectures. Mathematical and Statistical Preliminaries. Statistics for Descriptive Analytics. Bayesian Probability and Inference.

Inferential Statistics and Predictive Analytics. Artificial Intelligence for Symbolic Analytics. Probabilistic Graphical Modeling. Decision Support and Prescriptive Analytics. Time Series Modeling and Forecasting.

Monte Carlo Simulation. Cluster Analysis and Segmentation. Machine Learning for Analytics Models. Unstructured Data and Text Analytics.

Semantic Web. Analytics Tools. Appendices. Index.

Catalog no. K14110, December 2013, 516 pp.

ISBN: 978-1-4398-9070-7, $79.95 / £49.99 Also available as an eBook

Getting Started with Business Analytics Insightful Decision-Making David Roi Hardoon Galit Shmueli Indian School of Business, Hyderabad

“This timely, accessible book is relevant to students, managers, analysts, executives, consultants, and the general public. Recommended.”

—E.J. Szewczak, CHOICE, August 2013

“A must read for college students and business managers interested in big data and analytics. The book beautifully integrates the business and technology aspects of analytics. … If you want to get into business analytics, start your journey here!”

—Ram D. Gopal, University of Connecticut

Catalog no. K14271, March 2013, 190 pp.

ISBN: 978-1-4398-9653-2, $59.95 / £38.99

Risk Assessment and Decision Analysis with Bayesian Networks Norman Fenton and Martin Neil Queen Mary University of London, UK

“… a brilliant book. … This book finally makes BNs comprehensible, and I plan to develop a risk assessment course using this book as the recommended textbook.”

—Carl Smith, The University of Queensland

“The book provides sufficient motivation and examples (as well as the mathematics and probability where needed from scratch) to enable readers to understand the core principles and power of Bayesian networks. … readers are provided with a tool that performs the propagation so they will be able to build their own models to solve real-world risk assessment problems.”

—Judea Pearl, UCLA and 2011 Turing Award winner

Catalog no. K10450, November 2012, 524 pp.

ISBN: 978-1-4398-0910-5, $83.95 / £43.99

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

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Statistics for Engineering & Physical Science New!

Introduction to Statistical Process Control Peihua Qiu University of Florida, Gainesville, USA

“Bringing new statistical methods for quality control in line with the computer age, Introduction to Statistical Process Control presents state-of-the-art statistical process control (SPC) techniques for industrial and service processes. This book reflects major progress in the use of SPC for product and process improvement, introduces some of the newest discoveries—and sheds further light on existing ones—on the SPC approaches that can be applied across various areas of research, including engineering, medicine, and service. … a valuable resource in the field … an excellent choice as the primary textbook in an SPC course.”

—Changliang Zou, Nankai University

• Explores the major advantages and limitations of traditional and state-of-the-art SPC methods • Offers practical guidelines on implementing the techniques • Examines the most recent research results in various areas, including univariate and multivariate nonparametric SPC, SPC based on change-point detection, and profile monitoring • Keeps the mathematical and statistical prerequisites to a minimum, only requiring basic linear algebra, some calculus, and introductory statistics • Provides more advanced or technical material in discussions at the end of each chapter, along with exercises that encourage hands-on practice with the methods • Presents pseudo codes for important methods • Includes all R functions and datasets on the author’s website

Selected Contents: Introduction. Basic Statistical Concepts and Methods.

Univariate Shewhart Charts and Process Capability.

Univariate CUSUM Charts. Univariate EWMA Charts.

Univariate Control Charts by Change-Point Detection.

Multivariate Statistical Process Control. Univariate Nonparametric Process Control. Multivariate Nonparametric Process Control. Profile Monitoring.

Appendices. Bibliography. Index.

Catalog no. K12137, October 2013, 520 pp.

ISBN: 978-1-4398-4799-2, $89.95 / £57.99 Also available as an eBook

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Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers Scott Pardo Bayer Healthcare, Whippany, New Jersey, USA

This book presents methods for using validation and verification test data to demonstrate equivalence and noninferiority in engineering and applied science. It covers numerous tests drawn from the author’s more than 30 years of work in a range of industrial settings.

The book provides computational formulas for the tests, methods to determine or justify sample sizes, and formulas to calculate power and operating characteristic curves. The methods are accessible using standard statistical software and do not require complicated programming.

Catalog no. K20315, September 2013, 232 pp.

ISBN: 978-1-4665-8688-8, $129.95 / £82.00 Also available as an eBook

Time Series with Mixed Spectra Ta-Hsin Li IBM Research, Yorktown Heights, New York, USA

This book focuses on the methods and theory for the statistical analysis of time series with mixed spectra. It presents detailed theoretical and empirical analyses of important methods and algorithms.

Using both simulated and real-world data to illustrate the analyses, the book discusses periodogram analysis, autoregression, maximum likelihood, and covariance analysis. It considers real- and complex-valued time series, with and without the Gaussian assumption. The author also includes the most recent results on the Laplace and quantile periodograms as extensions of the traditional periodogram.

Catalog no. C1763, July 2013, 680 pp.

ISBN: 978-1-58488-176-6, $79.95 / £49.99 Also available as an eBook

Save when you order online at www.crcpress.com

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Statistical Genetics & Bioinformatics New!

New!

Statistical Methods for QTL Mapping

Systems Biology

Zehua Chen National University of Singapore

While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. This book brings together many recent statistical techniques that address the data complexity of QTL mapping. It emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. The book gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists.

Catalog no. K13106, November 2013, 308 pp.

ISBN: 978-1-4398-6830-0, $89.95 / £57.99 Also available as an eBook

Coming soon!

Bayesian Phylogenetics Methods, Algorithms, and Applications Edited by

Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis University of Connecticut, Storrs, USA

Suitable for graduate-level researchers in statistics and biology, this book offers 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.

Catalog no. K14380, June 2014, c. 398 pp.

ISBN: 978-1-4665-0079-2, $99.95 / £63.99 Also available as an eBook

Mathematical Modeling and Model Analysis Andreas Kremling Technical University Munich, Germany

“… a rich resource of mathematical methods and approaches that can be utilized to analyze and understand biological systems. … all topics are illustrated with step-by-step examples, and many of them are reinforced with exercises.”

—Eberhard Voit, Georgia Institute of Technology

“… a meticulous and far-reaching treatment of this critically important subject. … Each chapter is thoughtfully crafted to draw in novices to the field while still engaging to experts.”

—Markus Covert, Stanford University

Catalog no. K16367, November 2013, 379 pp.

ISBN: 978-1-4665-6789-4, $79.95 / £49.99 Also available as an eBook

New!

Stochastic Dynamics for Systems Biology Christian Mazza University of Fribourg, Switzerland

Michel Benaim Neuchatel University, Switzerland

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.

Catalog no. K15019, March 2014, 274 pp.

ISBN: 978-1-4665-1493-5, $79.95 / £49.99

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

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