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Contents Introductory Statistics & General References ............3 Statistical Theory & Methods ................................5 Biostatistics ..........................................................10 Computational Statistics ......................................17 Statistical Learning & Data Mining ......................20 Page 4

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Statistics for Business, Finance, & Economics ......22 Statistics for Social Science & Psychology............26 Environmental Statistics ......................................28 Statistics in Engineering & Physical Science ........29

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Introductory Statistics & General References

A Whistle-Stop Tour of Statistics Brian E. Everitt Professor Emeritus, Institute of Psychiatry, King's College, London

Written by Brian S. Everitt, the author of over 60 statistical texts, A Whistle-Stop Tour of Statistics introduces basic probability and statistics through bite-size coverage of key topics. A review aid and study guide for undergraduate students, it presents descriptions of key concepts from probability and statistics in self-contained sections.

An accessible reference to the key concepts in probability and statistics, this book • Introduces each concept through bite-size descriptions and presents interesting real-world examples • Includes plenty of diagrams and graphs to clarify and illustrate topics • Provides a concise summary of ten major areas of statistics, including survival analysis and the analysis of longitudinal data Selected Contents: Some Basics and Describing Data Probability Estimation Inference Analysis of Variance Models Linear Regression Models Logistic Regression and the Generalized Linear Model Survival Analysis Longitudinal Data and Their Analysis Multivariate Data and Their Analysis Catalog no. K13590, December 2011, 211 pp.

Soft Cover, ISBN: 978-1-4398-7748-7 $39.95 / £25.99

Coming Soon!

A–Z of Error-Free Research Philip Good Consultant, Huntington Beach, California, USA

This book is designed to assist in the transition from student to researcher. Step-by-step prescriptions, a glossary grouped by related but distinct terms, numerous worked-through examples, and the R code for less-widely available statistical techniques aid in making use of the material.

Readers will learn when to use statistics, the best ways to cope with variation, how to design an experiment, how to determine optimal sample size, and how to collect useable data for experiments, clinical trials, and surveys.

Features: • Provides a comprehensive guide to the use of statistics in all aspects of research • Takes readers through research design, data collection, data analysis, modeling, and reporting of results • Contains R code of less-widely available routines Selected Contents: Research Essentials. Planning. Hypotheses and Losses. Coping with Variation. Experimental Design. Data Collection. Fundamentals. Quality Control. Data Analysis. Describing the Data.

Testing Hypotheses I. Multiple Variables and Multiple Tests. Confidence Intervals and Testing Hypotheses. Sample Size Determination.

Building Models. Ordinary Least Squares.

Alternatives. Decision Trees. Reporting Your Results. Reports. Oral Presentations. Better Graphics. Non-Random Samples. Cohort and Case Studies. Bibliography. Author Index.

Subject Index. R Function Index. R Primer.

Catalog no. K14287, August 2012, c. 200 pp.

Soft Cover, ISBN: 978-1-4398-9737-9 $49.95 / £31.99

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3

Introductory Statistics & General References Introduction to the Theory of Statistical Inference Hannelore Liero University of Potsdam, Germany

Silvelyn Zwanzig

Abraham De Moivre Setting the Stage for Classical Probability and Its Applications David R. Bellhouse

Uppsala University, Sweden Series: Chapman & Hall/CRC Texts in Statistical Science

Based on the authors’ lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a secondsemester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory. It illustrates core concepts using cartoons and provides solutions to all examples and problems.

Catalog no. K12437, July 2011, 284 pp.

Soft Cover, ISBN: 978-1-4398-5292-7 $69.95 / £29.99 Also available as eBook

Introduction to Probability with Texas Hold’em Examples Frederic Paik Schoenberg

University of Western Ontario, London, Canada

This book is the first biography of Abraham De Moivre based on recently discovered material. It discusses the status of statistics and probability before and during De Moivre’s time. The text covers his theories as well as the work of key players and those he influenced. Along with exploring the development of probability theory, the book describes its applications in medicine, insurance, and astronomy. The author also examines the diffusion of ideas about probability in popular literature.

Catalog no. K00321, October 2011, 266 pp.

ISBN: 978-1-56881-349-3, $45.00 / £28.99 Also available as eBook

Handbook of Scientific Proposal Writing A.Yavuz Oruç

University of California -Los Angeles, USA

University of Maryland, College Park, USA

This classroom-tested book illustrates both standard and advanced probability topics using Texas Hold’em, rather than the typical balls in urns. It covers basic probability rules, standard models for describing collections of data, and the laws of large numbers as well as more advanced topics, such as the arcsine law and random walks. The author includes examples of actual hands of Texas Hold’em from the World Series of Poker and other major tournaments. A dedicated R package that simulates hands and tournaments is freely available from CRAN.

Written for students and researchers in all fields and disciplines, this reference offers a holistic approach to conceiving and then converting new ideas into effective proposals. It focuses on the technical aspects of writing proposals rather than the fundraising aspects. To help readers understand proposal writing, chapters provide full coverage of the scientific method, including information on how scientific research should be conducted. Furthermore, this book provides the tools necessary to organize ideas and obtain the funds needed to effectively manage projects.

Catalog no. K11367, December 2011, 199 pp.

Soft Cover, ISBN: 978-1-4398-2768-0 $49.95 / £31.99 Also available as eBook

Catalog no. K13170, October 2011, 243 pp.

ISBN: 978-1-4398-6918-5, $59.95 / £38.99 Also available as eBook

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Introductory Statistics & General References Coming Soon!

A Statistical Guide for the Ethically Perplexed Lawrence J. Hubert and Howard Wainer Written for researchers and graduate students in statistics and the social and behavioral sciences, this reference provides the formal scaffolding needed to reason ethically about what statisticians see in the course of their careers. It provides readers with a solid basis in statistical and ethical reasoning, helping them deal more effectively with whatever ethically-charged situations they might face. The book is filled with entertaining insights and quotations to aid with concept formation and application. Each chapter ends with a list of supplemental readings from major newspapers.

Catalog no. K13412, August 2012, c. 592 pp.

Soft Cover, ISBN: 978-1-4398-7368-7 $49.95 / £31.99 Also available as eBook

Statistical Theory & Methods Statistical Inference The Minimum Distance Approach Ayanendranath Basu, Hiroyuki Shioya, and Chanseok Park

Statistical Theory & Methods Coming Soon!

Maximum Likelihood Estimation for Sample Surveys R.L. Chambers, D.G. Steel, Suojin Wang, and A. Welsh Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

In recent years, likelihood methods have proven to be useful in methodological and practical advances in various disciplines, including the social sciences and engineering. Maximum Likelihood for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data, providing all necessary background material on likelihood inference. It provides complete coverage on a range of data types, including multilevel and aggregate data.

Illustrated by numerous worked examples and software implementation, it also addresses advanced topics such as combining data, nonresponse, and informative sampling.

Catalog no. C6323, May 2012, c. 360 pp.

ISBN: 978-1-58488-632-7, $79.95 / £49.99 Also available as eBook

Coming Soon!

Statistical Methods for Stochastic Differential Equations

This book gives a comprehensive account of densitybased minimum distance methods and their use in statistical inference. It covers statistical distances, density-based minimum distance methods, discrete and continuous models, asymptotic distributions, robustness, computational issues, residual adjustment functions, graphical descriptions of robustness, penalized and combined distances, multisample methods, weighted likelihood, and multinomial goodness-of-fit tests. The book also introduces the minimum distance methodology in interdisciplinary areas, such as neural networks and image processing, as well as specialized models and problems, including regression, mixture models, survival and Bayesian analysis, and more.

Edited by

Catalog no. K10008, June 2011, 429 pp.

ISBN: 978-1-4200-9965-2, $89.95 / £57.99 Also available as eBook

Catalog no. K12236, May 2012, c. 494 pp.

ISBN: 978-1-4398-4940-8, $99.95 / £63.99 Also available as eBook

Mathieu Kessler, Alexander Lindner, and Michael Sorensen Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

This book presents current research trends and recent developments in statistical methods for stochastic differential equations. Written to be accessible both to new students and seasoned researchers, each chapter starts with introductions to the topics and builds gradually toward discussing recent research. Chapters are selfcontained and written by leading researchers from the field. The book includes applications to finance and econometrics.

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5

Statistical Theory & Methods Extreme Value Methods with Applications to Finance Serguei Y. Novak Middlesex University, London, UK

A Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling

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

Phillip I. Good

Extreme value theory (EVT) provides tools for assessing risk of highly unusual developments, such as financial market crashes. This book presents a synthesis of recent research, with emphasis on dependent observations. It concentrates on modern topics, such as compound Poisson approximation, processes of exceedances, and nonparametric estimation methods, which have not been focused on in other books on extremes. Along with examples from finance and insurance that illustrate the methods, the book includes over 200 exercises, making it useful as a reference book, self-study tool, or comprehensive course text.

Resampling methods—techniques for repeatedly resampling data to obtain results—are being used in virtually every research area. This practical guide discusses the applications of these methods in a wide variety of subject areas. Each chapter contains a wealth of examples along with R and Stata code for implementing the techniques. Written by a leading authority in the field, the text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data analysis, multiple hypotheses, and model building.

Catalog no. K11611, December 2011, 399 pp.

ISBN: 978-1-4398-3574-6, $99.95 / £63.99 Also available as eBook

Consultant, Huntington Beach, California, USA

Catalog no. K12588, August 2011, 224 pp.

ISBN: 978-1-4398-5550-8, $89.95 / £57.99

Methods and Applications

Gaussian Process Regression Analysis for Functional Data

Yuedong Wang

Jian Qing Shi

University of California, Santa Barbara, USA

University of Newcastle upon Tyne, UK

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

Taeryon Choi

Smoothing Splines

Korea University, Seoul, South Korea

With many real-world examples, this book shows how to apply the powerful methods of smoothing splines in practice. It covers basic smoothing spline models as well as more advanced models, such as spline smoothing with correlated random errors. It also presents methods for model selection and inference. The author makes the advanced smoothing spline methodology based on reproducing kernel Hilbert space (RKHS) accessible to practitioners and students by keeping theory to a minimum.

R is used throughout to implement the methods, with code available for download on the book’s web page.

This work presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new methodological developments for high dimensional data and variable selection. They also explore novel nonparametric statistical methods for curve prediction, curve clustering, functional ANOVA, and functional regression analysis of batch data, repeated curves, and non-Gaussian data. Some MATLAB® and C codes are available on the first author’s website.

Catalog no. C7755, June 2011, 384 pp.

ISBN: 978-1-4200-7755-1, $89.95 / £57.99 Also available as eBook

Catalog no. K11716, July 2011, 216 pp.

ISBN: 978-1-4398-3773-3, $99.95 / £63.99 Also available as eBook

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Statistical Theory & Methods Coming Soon!

Flexible Imputation of Missing Data Stef van Buuren TNO Quality of Life, Leiden, The Netherlands Series: Chapman & Hall/CRC Interdisciplinary Statistics

Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which are missing data problems in disguise.

Flexible Imputation of Missing Data is supported by many examples using real data taken from the author's vast experience of collaborative research, and presents a practical guide for handling missing data under the framework of multiple imputation. Furthermore, detailed guidance of implementation in R using the author’s package MICE is included throughout the book.

Assuming familiarity with basic statistical concepts and multivariate methods, Flexible Imputation of Missing Data is intended for two audiences: • (Bio)statisticians, epidemiologists, and methodologists in the social and health sciences • Substantive researchers who do not call themselves statisticians, but who possess the necessary skills to understand the principles and to follow the recipes This graduate-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by a verbal statement that explains the formula in layperson terms.

Readers less concerned with the theoretical underpinnings will be able to pick up the general idea, and technical material is available for those who desire deeper understanding. The analyses can be replicated in R using a dedicated package developed by the author.

Catalog no. K13103, March 2012, 342 pp.

ISBN: 978-1-4398-6824-9, $89.95 / £57.99 Also available as eBook

Applied Categorical and Count Data Analysis Wan Tang, Hua He, and Xin M. Tu University of Rochester, New York, USA Series: Chapman & Hall/CRC Texts in Statistical Science

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without using rigorous mathematical arguments.

The text covers classic concepts and popular topics, such as contingency tables, logistic models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies.

Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields.

Selected Contents: Introduction. Contingency Tables. Sets of Contingency Tables. Regression Models for Categorical Response. Regression Models for Count Response. Loglinear Models for Contingency Tables. Analyses of Discrete Survival Time. Longitudinal Data Analysis.

Evaluation of Instruments. Analysis of Incomplete Data. References. Index.

Catalog no. K10311, May 2012, c. 379 pp.

ISBN: 978-1-4398-0624-1, $89.95 / £57.99 Also available as eBook

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Statistical Theory & Methods Practical Multivariate Analysis

Coming Soon!

Fifth Edition

Generalized Linear Models and Extensions

Abdelmonem Afifi

Third Edition

University of California, Los Angeles, USA

James W. Hardin

Susanne May

University of South Carolina, Columbia, USA

University of Washington, Seattle, USA

Joseph M. Hilbe

Virginia A. Clark Consultant, Sequim, Washington, USA Series: Chapman & Hall/CRC Texts in Statistical Science

Taking into account novel multivariate analyses as well as new options for many standard methods, this renamed, new edition shows readers how to perform multivariate statistical analyses and understand the results. For each of the techniques presented, the authors use the most recent software versions available, including R, and discuss the most modern ways of performing the analysis. Along with more problems and data sets, this fifth edition includes a new chapter on regression of correlated outcomes. Data sets and code are available for download online.

Catalog no. K10864, July 2011, 537 pp.

ISBN: 978-1-4398-1680-6, $89.95 / £44.99 Also available as eBook

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

This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models that have been developed on the basis of GLM theory, including GAM, ordered binomial models, multinomial logit and probit models, GEE and other quasi-likelihood models, fixed and random effects models, and random intercept and random parameter models.

Catalog no. N10590, June 2012, c. 461 pp.

Soft Cover, ISBN: 978-1-59718-105-1 $79.95 / £49.99

Applied Time Series Analysis Wayne A. Woodward and Henry L. Gray

Introduction to Statistical Limit Theory

Southern Methodist University, Dallas, Texas, USA

Alan C. Elliott

Alan M. Polansky

University of Texas Southwestern Medical Center at Dallas, USA

Northern Illinois University, Dekalb, USA Series: Chapman & Hall/CRC Texts in Statistical Science

Statistics: A Series of Textbooks and Monographs

Helping readers develop a good understanding of asymptotic theory, this text provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. The author explains as much of the background material as possible and incorporates detailed proofs and explanations of the results.

The text includes many end-of-chapter exercises and experiments that range in level of difficulty from easy to advanced. Numerous examples illustrate the application of asymptotic theory to modern statistical problems. A solutions manual is available upon qualifying course adoption.

Virtually any random process that develops chronologically can be viewed as a time series.

This textbook presents real-world examples from the fields of engineering, economics, medicine, biology, and chemistry to promote a solid understanding of the data and associated methods. The text explores many important new methodologies that have developed in time series, such as ARCH and GARCH processes, time varying autocorrelations, time varying frequencies (TVF), autoregressive processes with timedependent coefficients, wavelets, and more. The authors also provide a Windows-based time series software package.

Catalog no. C6604, January 2011, 645 pp.

ISBN: 978-1-4200-7660-8, $89.95 / £57.99 Also available as eBook

Catalog no. K10965, October 2011, 564 pp.

ISBN: 978-1-4398-1837-4, $99.95 / £60.99 Also available as eBook

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Statistical Theory & Methods Handbook of Markov Chain Monte Carlo Edited by

Steve Brooks, Andrew Gelman, Galin L. Jones, and Xiao-Li Meng Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Handbook of Markov Chain Monte Carlo brings together the major advances that have occurred in recent years, while incorporating enough introductory material for new users of MCMC. Along with thorough coverage of the theoretical foundations and algorithmic and computational methodology, this comprehensive handbook includes substantial realistic case studies from a variety of disciplines. These case studies demonstrate the application of MCMC methods and serve as a series of templates for the construction, implementation, and choice of MCMC methodology.

Catalog no. C7941, May 2011, 619 pp.

ISBN: 978-1-4200-7941-8, $99.95 / £63.99 Also available as eBook

Coming Soon!

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

In recent years, Bayesian methods have become the most widely used statistical methods for data analysis and modeling. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to BUGS software and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples, a wide range of applications from various disciplines, and numerous detailed exercises in every chapter.

Catalog no. C8490, August 2012, c. 320 pp.

Soft Cover, ISBN: 978-1-58488-849-9 $39.95 / £19.99 Also available as eBook

Bayesian Analysis Made Simple Principles of Uncertainty Joseph B. Kadane Carnegie Mellon University, Pittsburgh, Pennsylvania, USA Series: Chapman & Hall/CRC Texts in Statistical Science

Addressing what are sometimes thought of as two different subjects, this book presents statistics as simply an application of probability. It provides a comprehensive introduction to uncertainty principles and the theory of Bayesian statistics.

Each chapter begins by introducing one new concept or assumption and then explores the consequences of that new assumption when added to those already made. Chapters end with a summary and exercises. Employing "just-intime mathematics," the author introduces mathematical ideas just before they are applied to advance the main argument.

Catalog no. K12848, May 2011, 503 pp.

ISBN: 978-1-4398-6161-5, $89.95 / £57.99

An Excel GUI for WinBUGS Phil Woodward Pfizer, LTD, Sandwich, Kent, UK Chapman & Hall/CRC Biostatistics Series

From simple NLMs to complex GLMMs and beyond, this book describes how to use the GUI for WinBUGS—BugsXLA—an Excel add-in written by the author that allows a range of Bayesian models to be easily specified. With case studies throughout, the text shows how to routinely apply even the more complex aspects of model specification, such as GLMMs, outlier robust models, random effects Emax models, autoregressive errors, and Bayesian variable selection.

It provides brief, up-to-date discussions of current issues in the practical application of Bayesian methods. The author also explains how to obtain free software to get started immediately.

Catalog no. K11808, August 2011, 364 pp., ISBN: 978-1-4398-3954-6, $69.95 / £44.99 Also available as eBook

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Statistical Theory & Methods Coming Soon!

Methodology in Robust and Nonparametric Statistics Jana Jureckova, Pranab Kumar Sen, and Jan Picek

Tohru Ozaki Institute of Statistical Mathematics, Tokyo, Japan Series: Chapman & Hall/CRC Interdisciplinary Statistics

Closely related to nonparametric methods, robust statistical methods are not unduly affected by data outliers or other small departures from model assumptions. This book presents a comprehensive overview of methodology for robust and nonparametric statistics. It covers both methods in parallel in order to demonstrate their relative strengths and weaknesses.

Using examples to illustrate the methods, the text highlights applications in the fields of biomedical science, bioinformatics, finance, and engineering. The authors provide exercises in the text as well as R programs for all examples on the book’s website.

Catalog no. K11885, August 2012, c. 480 pp.

ISBN: 978-1-4398-4068-9, $99.95 / £63.99 Also available as eBook

Nonparametric Statistical Tests A Computational Approach

Due to recent advances in methodology that offer significant improvements over conventional methods, there is increasing interest in the use of time series models for the study of neuroscience data such as EEG, MEG, fMRI, and NIRS. Written by one of the pioneers of these methods, this book presents an overview of time series models for the study of neuroscience data.

It is accessible to applied statisticians working with neuroscience data as well as quantitatively trained neuroscientists.

Catalog no. C4602, January 2012, 574 pp.

ISBN: 978-1-4200-9460-2, $99.95 / £63.99 Also available as eBook

Biostatistics Biostatistics: A Computing Approach Stewart J. Anderson University of Pittsburgh, Pennsylvania, USA Chapman & Hall/CRC Biostatistics Series

Markus Neuhäuser Koblenz University of Applied Sciences, Remagen, Germany

This book provides a modern and accessible overview of computationally-intensive nonparametric statistical methods. Presenting up-to-date and detailed information, the text focuses on the use of permutation and bootstrap methods to assess the significance of a statistic in a hypothesis test. It includes numerous real examples to illustrate the methods, and SAS programs are used throughout to apply them. In addition, a significant portion of the book is devoted to (recent) nonparametric tests for the comparison of independent groups with potentially unequal variances.

Catalog no. K13006, December 2011, 248 pp.

ISBN: 978-1-4398-6703-7, $89.95 / £57.99 Also available as eBook

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Time Series Modeling of Neuroscience Data

Biostatistics introduces modern and classical biostatistical methods and compares their respective usefulness. It covers simple linear regression, multivariate regression, repeated measure, nonparametric analysis, survival analysis, sample size, and power calculations. The text offers numerous practical applications and detailed worked examples using R and SAS, as well as exercises with solutions.

Selected Contents: Preface. Review of Topics in Probability and Statistics. Use of Simulation Techniques. The Central Limit Theorem. Correlation and Regression. Analysis of Variance. Discrete Measures of Risk. Multivariate Analysis.

Catalog no. C8342, December 2011, 326 pp.

ISBN: 978-1-58488-834-5, $79.95 / £39.99 Also available as eBook

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Biostatistics Coming Soon!

Applied Medical Statistics Using SAS Geoff Der University of Glasgow, Scotland, UK

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

Adding topics useful to medical statisticians, this new edition of a popular intermediate-level reference explores the use of SAS for analyzing medical data. A new chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes new chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains its examplebased approach, with SAS code and output included throughout and available online.

Catalog no. K13087, July 2012, c. 424 pp.

ISBN: 978-1-4398-6797-6, $89.95 / £57.99 Also available as eBook

Statistical Thinking in Epidemiology Yu-Kang Tu and Mark S. Gilthorpe University of Leeds, UK

Addressing issues that have plagued researchers throughout the last decade, this book provides new insights into the many existing problems in statistical modeling and offers several alternative strategies to approach these problems.

Emphasizing the importance of statistical thinking behind all analyses, the authors use specific examples in epidemiology to illustrate different model specifications that can imply different sets of causal relationships between variables. Each model is interpreted with regard to the context of implicit or explicit causal relationships.

Catalog no. K10018, July 2011, 231 pp.

ISBN: 978-1-4200-9991-1, $89.95 / £57.99 Also available as eBook

Coming Soon!

Coming Soon!

Medical Biostatistics Third Edition Abhaya Indrayan Chapman & Hall/CRC Biostatistics Series

Confidence Intervals for Proportions and Related Measures of Effect Size Robert G. Newcombe Cardiff University, Wales Chapman & Hall/CRC Biostatistics Series

The third edition of this acclaimed text focuses on the statistical aspects of medicine with a medical perspective, showing how biostatistics is a useful tool to manage medical uncertainties.

This edition provides expanded coverage of topics and includes software illustrations. The author presents step-by-step explanations of statistical methods with the help of numerous realworld examples. Graphs and guide charts at the beginning of the book enable quick access to the relevant statistical procedure, and the comprehensive index makes it easier to locate terms of interest.

Addressed primarily at researchers who have not been trained as statisticians, this book describes how to use appropriate methods to calculate confidence intervals to present research findings. It covers background issues, such as the link between hypothesis tests and confidence intervals and why it is usually preferable to report the latter. Chapters begin with the simplest cases of a mean or a proportion based on a single sample and then move on to more complex applications. Although the book’s illustrative examples are mainly health-related, the methods described can also be applied to research in a wide range of disciplines.

Catalog no. K13952, July 2012, c. 1008 pp.

ISBN: 978-1-4398-8414-0, $129.95 / £82.00 Also available as eBook

Catalog no. K10649, August 2012, c. 464 pp.

ISBN: 978-1-4398-1278-5, $89.95 / £57.99 Also available as an eBook

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11

Biostatistics Randomized Clinical Trials of Nonpharmacological Treatments

Controversial Statistical Issues in Clinical Trials Shein-Chung Chow

Edited by

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

Isabelle Boutron and Philippe Ravaud

Chapman & Hall/CRC Biostatistics Series

INSERM U738, Paris, France

Written by one of the preeminent experts in the field, this book covers commonly encountered controversial statistical issues in clinical trials and, whenever possible, makes recommendations to resolve these problems. It focuses on issues occurring at various stages of clinical research and development, including early-phase clinical development, bench-to-bedside translational research, and late-phase clinical development. Numerous examples illustrate the impact of these issues on the evaluation of the safety and efficacy of the test treatment under investigation.

The author also offers recommendations regarding possible resolutions of the problems.

David Moher University of Ottawa, Ontario, Canada Chapman & Hall/CRC Biostatistics Series

Nonpharmacological treatments include a wide variety of treatments such as surgery, technical procedures, implantable devices, non-implantable devices, rehabilitation, psychotherapy, and behavioral interventions. This book focuses on the methods of assessing nonpharmacological treatments, highlighting specific issues, and discussing trial design. Providing practical examples underlining the issues and solutions, this book is arguably the first to exclusively explore this topic, discussing various categories of treatments, from surgical procedures to psychotherapy.

Catalog no. C8017, December 2011, 403 pp.

ISBN: 978-1-4200-8801-4, $99.95 / £63.99 Also available as eBook

Catalog no. K12247, June 2011, 611 pp.

ISBN: 978-1-4398-4961-3, $99.95 / £63.99 Also available as eBook

Adaptive Design Methods in Clinical Trials Second Edition Shein-Chung Chow Duke University School of Medicine, Durham, North Carolina, USA

Adaptive and Flexible Clinical Trials

Mark Chang

Richard Chin

AMAG Pharmaceuticals, Inc, Lexington, Massachusetts, USA

Institute for One World Health, San Francisco, California, USA

Chapman & Hall/CRC Biostatistics Series

By enabling studies to be modified during the course of the trial, modern adaptive clinical trial designs can make studies substantially faster, more efficient, and more powerful than traditional clinical trials. The recent advances in webbased real-time data entry and novel statistical methods have made adaptive clinical trials practical and attractive. Suitable for readers involved in drug development, this is the first book that comprehensively explains all essential aspects of adaptive clinical trials. Without using highly technical statistical jargon, it discusses the design, conduct, and execution of these trials.

This second edition reflects recent developments and regulatory positions on the use of adaptive designs in clinical trials. It unifies the vast and continuously growing literature and research activities on regulatory requirements, scientific and practical issues, and statistical methodology. This edition significantly updates the chapters on protocol amendment and clinical trial simulation to incorporate the latest changes. It also includes five entirely new chapters on two-stage adaptive design, biomarker adaptive trials, target clinical trials, sample size and power estimation, and regulatory perspectives.

Catalog no. K11738, August 2011, 198 pp.

ISBN: 978-1-4398-3832-7, $89.95 / £57.99 Also available as eBook

Catalog no. K11837, December 2011, 374 pp.

ISBN: 978-1-4398-3987-4, $89.95 / £57.99 Also available as eBook

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Biostatistics Handbook of Statistics in Clinical Oncology

Coming Soon – New Edition of a Bestseller!

Third Edition

Clinical Trials in Oncology

Edited by

Third Edition

Cancer Research and Biostatistics, Seattle, Washington, USA

Stephanie Green, Jacqueline Benedetti, Angela Smith, and John Crowley

Antje Hoering

Series: Chapman & Hall/CRC Interdisciplinary Statistics

Cancer Research and Biostatistics, University of Washington and Fred Hutchinson Cancer Research Center, Seattle, Washington

Praise for Previous Editions

John Crowley

Praise for the Previous Edition “… a comprehensive edited volume covering statistical and bioinformatics methods that provide the foundation for important research and clinical trials in cancer. … Like the last edition, this current edition will be an important addition to the libraries of all health research centers. The book will be prized as a reference book for biostatisticians, biomedical researchers, and oncologists for planning, conducting, analyzing, and interpreting cancer research.”

—Journal of the American Statistical Association

“A significant strength of this book is its exampledriven approach to the ‘out-of-the-box’ but practical issues faced by those conducting cancer clinical trials. The book provides a critical assessment of the state of science through a thorough review of the methods, applications, and available resources. … a detailed and mostly comprehensive text on the topics of cancer clinical trial design, conduct, analysis, and interpretation.”

—Daniel Sargent, Sumithra Mandrekar, and Ann Oberg, Mayo Clinic, Biometrics

Addressing the many challenges that have arisen since the publication of its predecessor, this third edition covers the newest developments involved in the design and analysis of cancer clinical trials. Accessible to statisticians in clinical trials as well as oncologists interested in clinical trial methodology, the book presents up-to-date statistical approaches to the design and analysis of oncology clinical trials. New topics in this edition include trial designs for targeted agents, Bayesian trial design, and the inclusion of highdimensional data and imaging techniques. This edition also contains numerous figures and examples to better explain concepts.

"Succinct and focused… [This book] is clear, cogent, and practical. It is structured so that statisticians can use specific sections as starting point to develop shared understandings with investigators, study coordinators, and data managers…It has been useful to me and my clients, and I look forward to the second edition."

—Marlene Egger, PhD, University of Utah, USA

The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the pitfalls inherent in these processes. In addition, the book has been restructured to have separate chapters on general clinical trials issues, Phase I, Phase II, and Phase III, with expanded discussions in each.

New sections cover innovations in Phase I designs, randomized Phase II designs, and overcoming the challenges of array data.

Although this book focuses on cancer trials, the issues and concepts are important in any clinical setting. As always, the authors use clear, lucid prose and a multitude of real-world trials as examples to convey the principles of successful trials without the need for a strong statistics or mathematics background. Clinical Trials in Oncology, Third Edition works to improve the mutual understanding of clinicians and statisticians on the principles of clinical trials and helps them avoid the many hazards that can jeopardize the success of a trial.

Catalog no. K10744, May 2012, c. 262 pp.

ISBN: 978-1-4398-1448-2, $89.95 / £57.99 Also available as eBook

Catalog no. K12872, April 2012, 657 pp.

ISBN: 978-1-4398-6200-1, $119.95 / £76.99 Also available as eBook

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13

Biostatistics Coming Soon!

Design and Analysis of Bridging Studies

Dose Finding by the Continual Reassessment Method Ying Kuen Cheung

Edited by

Chin-Fu Hsiao, Jen-pei Liu, and Shein-Chung Chow Chapman & Hall/CRC Biostatistics Series

This book provides a comprehensive and unified summary of the growing literature and research activities on regulatory requirements, scientific and practical issues, and statistical methodology pertaining to the design and evaluation of bridging studies, which provide pharmacodynamic or clinical data that allow extrapolation of the foreign clinical data to a new region. Along with a thorough overview of bridging studies, the text addresses issues arising from bridging studies, including ethnic sensitivity, necessity of bridging studies, types of bridging studies, and the assessment of similarity between regions based on bridging evidence.

Catalog no. K12075, July 2012, c. 294 pp.

ISBN: 978-1-4398-4634-6, $99.95 / £63.99 Also available as eBook

Design and Analysis of NonInferiority Trials Mark D. Rothmann, Brian L. Wiens, and Ivan S.F. Chan

Department of Biostatistics, Columbia University, USA Chapman & Hall/CRC Biostatistics Series

This book presents the continual reassessment method (CRM) as a tool for dose-finding studies.

With a focus on the implementation and practice of the CRM and its variations, it explains how the CRM may be calibrated and extended to suit common clinical settings. The book includes examples of real clinical trials data to illustrate the calibration techniques and shows how R can be used to carry out the techniques.

It reviews the literature, related methodology, and theoretical properties of the CRM. Catalog no. C9151, March 2011, 200 pp.

ISBN: 978-1-4200-9151-9, $79.95 / £49.99 Also available as eBook

Coming Soon!

IntervalCensored Timeto-Event Data Methods and Applications Edited by

Ding-Geng (Din) Chen, Jianguo Sun, and Karl E. Peace Chapman & Hall/CRC Biostatistics Series

Chapman & Hall/CRC Biostatistics Series

The increased use of non-inferiority analysis has been accompanied by a proliferation of research on the design and analysis of non-inferiority studies. Design and Analysis of Non-Inferiority Trials brings together this body of research and confronts the issues involved in the design of a non-inferiority trial. Using examples from real clinical trials, the book discusses general and regulatory issues and illustrates how they affect analysis. Each chapter begins with a non-technical introduction, so the subject is easily understood by those without prior knowledge of non-inferiority clinical trials.

This book compiles and presents new developments in the analysis of interval-censored timeto-event data with applications to clinical trials and biomedical research. Data and computer programs are available in order for readers to replicate model development and data analysis presented in each chapter so that these new methods can be readily applied by interested readers in their research. The book brings together experts engaged in clinical research from academia, biopharmaceutical industries, and government to present and discuss recent issues in interval-censored time-to-event applications.

Catalog no. C8040, July 2011, 454 pp.

ISBN: 978-1-58488-804-8, $89.95 / £57.99 Also available as eBook

Catalog no. K14515, July 2012, c. 421 pp.

ISBN: 978-1-4665-0425-7, $99.95 / £63.99 Also available as eBook

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Biostatistics Multivariate Survival Analysis and Competing Risks

Flexible Parametric Survival Analysis Using Stata

Martin Crowder

Patrick Royston

Imperial College, University of London, UK

University College London and MRC Clinical Trials Unit, UK

Series: Chapman & Hall/CRC Texts in Statistical Science

Paul C. Lambert

Suitable for graduate students and researchers in statistics and biostatistics as well as those in the medical field, epidemiology, and the social sciences, this book introduces univariate survival analysis and extends it to the multivariate case. It also covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods.

Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.

Catalog no. K13489, April 2012, 417 pp.

ISBN: 978-1-4398-7521-6, $99.95 / £63.99 Also available as eBook

Catalog no. N10372, August 2011, 339 pp.

Soft Cover, ISBN: 978-1-59718-079-5 $79.95 / £49.99

Beyond the Cox Model

University of Leicester, UK

Coming Soon!

Joint Models for Longitudinal and Time-toEvent Data

Dynamic Prediction in Clinical Survival Analysis

With Applications in R

Hans C. van Houwelingen and Hein Putter

Dimitris Rizopoulos

Leiden University, The Netherlands

Erasmus University Medical Center, Rotterdam, Netherlands Chapman & Hall/CRC Biostatistics Series

This book provides a full treatment of joint models (JM) for longitudinal and time-to-event data.

The content is explanatory rather than mathematically rigorous and applications are emphasized. All illustrations put forward are available in the R programming language via the freely available package JM written by the author.

Selected Contents: Introduction. Analysis of Longitudinal Data.

Analysis of Time-to-Event Data. Joint Models for Longitudinal and Time-to-Event Data. ...

Catalog no. K13371, July 2012, c. 280 pp.

Soft Cover, ISBN: 978-1-4398-7286-4 $79.95 / £49.99 Also available as eBook

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

In the last twenty years, dynamic prediction models have been extensively used to monitor patient prognosis in survival analysis. Written by one of the pioneers in the area, this book synthesizes these developments in a unified framework. It covers a range of models, including prognostic and dynamic prediction of survival using genomic data and time-dependent information. The text includes numerous examples using real data taken from the authors’ collaborative research. R programs are provided for implementing the methods.

Catalog no. K11593, November 2011, 250 pp.

ISBN: 978-1-4398-3533-3, $89.95 / £57.99 Also available as eBook

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15

Biostatistics Advanced Bayesian Methods for Medical Test Accuracy

Statistical Evaluation of Diagnostic Performance

Lyle D. Broemeling

Kelly H. Zou, Aiyi Liu, Andriy I. Bandos, Lucila Ohno-Machado, and Howard E. Rockette

Topics in ROC Analysis

Broemeling and Associates, Medical Lake, Washington, USA Chapman & Hall/CRC Biostatistics Series

Chapman & Hall/CRC Biostatistics Series

After a review of the usual measures, including specificity, sensitivity, positive predictive value, negative predictive value, and the area under the ROC curve, this book expands its scope to cover the more advanced topics of verification bias, diagnostic tests with imperfect gold standards, and medical tests where no gold standard is available. The author offers a practical treatment by including R and WinBUGS code in the examples and by employing the Bayesian approach throughout the text. He also provides practical problems at the end of each chapter.

Catalog no. K11763, August 2011, 487 pp.

ISBN: 978-1-4398-3878-5, $139.95 / £89.00 Also available as eBook

This book presents innovative approaches in Receiver Operating Characteristic (ROC) analysis, which are relevant to a wide variety of applications, including medical imaging, cancer research, epidemiology, and bioinformatics. The covered topics include monotone-transformation techniques in parametric ROC analysis, ROC methods for combined and pooled biomarkers, Bayesian hierarchical transformation models, sequential designs and inferences in the ROC setting, predictive modeling, multireader ROC analysis, and free-response ROC (FROC) methodology.

Catalog no. K10617, July 2011, 245 pp.

ISBN: 978-1-4398-1222-8, $89.95 / £57.99 Also available as eBook

Stochastic Modelling for Systems Biology Second Edition Darren J. Wilkinson

Statistics of Medical Imaging

School of Mathematics and Statistics, Newcastle University, UK Series: Chapman & Hall/CRC Mathematical & Computational Biology

Tianhu Lei Series: Chapman & Hall/CRC Interdisciplinary Statistics

Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis). Physical principles and mathematical procedures of medical imaging technologies have been extensively studied during past decades. However, less work has been done on their statistical aspect. Filling this gap, this book provides a theoretical framework for statistical investigation into medical technologies.

This book provides an accessible introduction to the use of stochastic processes for modeling biological systems, such as genetic and biochemical networks. Focusing on simulation, the text includes many examples, R and SBML code, and a number of computer-based exercises. Fully updated, this second edition includes improvements to the chapters on Markov processes, kinetics and approximate algorithms. It also greatly expands the coverage of statistical inference, using likelihood-free techniques. Updated computing aspects include a new R package and the use of the new SBML Level 3.

Catalog no. C8842, December 2011, 438 pp.

ISBN: 978-1-4200-8842-7, $99.95 / £63.99 Also available as eBook

Catalog no. K11715, November 2011, 363 pp.

ISBN: 978-1-4398-3772-6, $89.95 / £57.99 Also available as eBook

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Computational Statistics

R for Statistics Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lober, and Laurent Rouvière This text explores the use of R for classical statistical analysis. The first half of the book introduces R, data manipulation and visualization, statistical models, graphics, and R programming. The second half presents various statistical analysis techniques by first introducing the data example, then describing the problem to solve, and finally conducting the analysis using R. This example-based approach enables readers to replicate the analyses using their own data.

Some of the techniques covered include simple regression, multiple regression, ANOVA, logistic regression, principal component analysis, and clustering.

Catalog no. K13834, March 2012, 320 pp.

Soft Cover, ISBN: 978-1-4398-8145-3 $59.95 / £34.99 Also available as eBook

R Graphics Second Edition Paul Murrell The University of Auckland, New Zealand Chapman &Hall/CRC The R Series

Written by the foremost authority in the field, this book explains how to use R to produce high quality statistical graphics. Completely updated and revised, this second edition highlights new graphics-related packages that have been developed, such as the ggplot2 package. A number of new chapters cover these packages in detail.

Other chapters new to this edition feature discussions of interactive graphics, 3D graphics, and importing graphics. The book also includes new examples as well as enhanced exercises for teaching or self-study.

Catalog no. K11535, June 2011, 546 pp.

ISBN: 978-1-4398-3176-2, $79.95 / £49.99 Also available as eBook

Optimal Experimental Design with R The R Primer Claus Thorn Ekstrøm University of Copenhagen, Frederiksberg, Denmark

This primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. Numerous examples illustrate a specific situation, topic, or problem, including data importing, data management, classical statistical analyses, and high-quality graphics production.

Each example is self-contained and includes R code that can be run exactly as shown, enabling results from the book to be replicated.

Additional topics and R code are available from the book’s supporting website.

Catalog no. K12876, August 2011, 299 pp.

Soft Cover, ISBN: 978-1-4398-6206-3 $39.95 / £25.99 Also available as eBook

Dieter Rasch, Jürgen Pilz, Rob Verdooren, and Albrecht Gebhardt Optimal Experimental Design with R introduces experimenters to the philosophy of experimentation, and the need for good design and data collection for experiments. It gives experimenters and statisticians guidance on how to construct optimum experimental designs and calculate the sample size needed using R programs. The book contains many detailed realworld examples that show how the R programs should be used. The authors discuss variations of the regression model, including linear and nonlinear regression models. They also provide a final chapter of theoretical details for interested mathematical statisticians.

Catalog no. K10876, May 2011, 345 pp.

ISBN: 978-1-4398-1697-4, $99.95 / £63.99 Also available as eBook

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17

Computational Statistics New Edition of a Bestseller!

An R Companion to Linear Statistical Models Christopher Hay-Jahans University of Alaska-Southeast, Juneau, USA

This work was prepared to serve as an R supplement for textbooks on Linear Statistical Models.

It provides computational and coding details on the use of R that textbooks do not. Topics covered include simple and multiple linear regression models, models for one- and two-factor fixed-effects designs, covariance models, and models for randomized complete block designs.

The text can serve as both a course supplement and a fairly detailed self-help resource. The development of "grass-roots" code alongside demonstrations of pre-packaged routines provides users with illustrations on how to develop their own programs with R. Catalog no. K13410, October 2011, 372 pp.

ISBN: 978-1-4398-7365-6, $79.95 / £49.99 Also available as eBook

Multivariate Generalized Linear Mixed Models Using R Damon M. Berridge and Robert Crouchley Lancaster University, UK

In medical and social science research, MGLMMs help disentangle state dependence from incidental parameters. Focusing on these sophisticated data analysis techniques, this work presents robust and methodologically sound models for analyzing large and complex data sets—enabling readers to answer increasingly complex research questions. It applies the principles of modeling to longitudinal data from panel and related studies via the Sabre software package in R. Many examples throughout the text illustrate the analysis of real-world data sets.

Supporting materials are available on a Sabrededicated website.

Catalog no. K10680, April 2011, 304 pp.

ISBN: 978-1-4398-1326-3, $89.95 / £57.99 Also available as eBook

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Statistics and Data Analysis for Microarrays Using R and Bioconductor Second Edition Sorin Dra˘ghici Wayne State University, Detroit, Michigan, USA Series: Chapman & Hall/CRC Mathematical & Computational Biology

Praise for the First Edition “The book by Draghici is an excellent choice to be used as a textbook for a graduate-level bioinformatics course. This well-written book with two accompanying CD-ROMs will create much-needed enthusiasm among statisticians.”

—Journal of Statistical Computation and Simulation

“I really like Draghici's book. As the author explains in the Preface, the book is intended to serve both the statistician who knows very little about DNA microarrays and the biologist who has no expertise in data analysis. The author lays out a study plan for the statistician that excludes 5 of the 17 chapters (4-8). These chapters present the basics of statistical distributions, estimation, hypothesis testing, ANOVA, and experimental design. What that leaves for the statistician is the three-chapter primer on microarrays and image processing, plus all of the data analysis tools specific to the microarray situation. … it includes two CDs with trial versions of several specialised software packages. Anyone who uses microarray data should certainly own a copy.”

—Technometrics

Richly illustrated in color, this bestselling text provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, examplebased approach that explains the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. Now using R and Bioconductor, this edition has been expanded with fourteen new chapters and 600 more pages.

Catalog no. K10487, December 2011, 1036 pp.

ISBN: 978-1-4398-0975-4, $89.95 / £57.99 Also available as eBook

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Computational Statistics

A Gentle Introduction to Stata Revised Third Edition Alan C. Acock Oregon State University, Corvallis, USA

Updated to reflect the new features of Stata 11, this revised third edition continues to help new Stata users become proficient in the software.

After reading this introductory text, you will be able to enter, build, and manage a data set as well as perform fundamental statistical analyses.

This edition includes a new chapter on the analysis of missing data and the use of multipleimputation methods. It also provides an extensive revision of the chapter on ANOVA, along with additional material on the application of power analysis. Each chapter includes exercises and real data sets are used throughout.

Catalog no. N10594, March 2012, 401 pp.

Soft Cover, ISBN: 978-1-59718-109-9 $79.95 / £49.99

A Visual Guide to Stata Graphics

Multilevel and Longitudinal Modeling Using Stata Volumes I and II, Third Edition Sophia Rabe-Hesketh and Anders Skrondal This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables.

Catalog no. N10560, April 2012, Soft Cover ISBN: 978-1-59718-108-2, $149.95 / £95.00 Volumes are also available individually

Volume I: Continuous Responses, Third Edition Volume I is devoted to continuous Gaussian linear mixed models and has nine chapters, organized in four parts. The first part provides a review of the methods of linear regression. The second part provides in-depth coverage of the two-level models, the simplest extensions of a linear regression model. This volume also covers the mixed-model foundation and the mixed-model principles for continuous outcomes, making it straightforward for readers to transition to the generalized linear mixed models for noncontinuous outcomes described in volume II.

Michael N. Mitchell

Catalog no. N10561, April 2012, c. 514 pp.

Soft Cover, ISBN: 978-1-59718-103-7 $89.95 / £57.99

UCLA Academic Technology Services Consulting Group, Los Angeles, California, USA

Volume II: Categorical Responses, Counts, and Survival, Third Edition

With over 900 illustrated examples and quickreference tabs, this book quickly guides you to the information you need for creating and customizing high-quality graphs for any type of statistical data. Each graph is displayed in full color with simple and clear instructions that illustrate how to create and customize graphs using either Stata commands or the Stata Graph Editor.

Stata’s powerful graphics system gives you complete control over how the elements of your graph look.

Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes and is organized in four parts. The first three parts cover models for categorical responses, including binary, ordinal, and nominal (a new chapter); models for count data; and models for survival data, including discrete-time and continuous-time (a new chapter) survival responses. The final part describes models with nested and crossed-random effects, with an emphasis on binary outcomes.

Catalog no. N10565, January 2012, 499 pp.

Soft Cover, ISBN: 978-1-59718-106-8 $89.95 / £57.99

Catalog no. N10563, March 2012, 484 pp.

Soft Cover, ISBN: 978-1-59718-104-4 $89.95 / £57.99

Third Edition

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

19

Computational Statistics Coming Soon!

Coming Soon!

Interpreting and Visualizing Regression Models Using Stata

Programming in C++ for Engineering and Science

Michael N. Mitchell

Calvin College, Grand Rapids, Michigan, USA

UCLA Academic Technology Services Consulting Group, Los Angeles, California, USA

Michael Mitchell’s Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless of the audience. As an example, many experienced researchers start to squirm when asked to give a simple explanation of the applied meaning of interactions in nonlinear models such as logistic regression.

Catalog no. N10624, May 2012, 558 pp.

ISBN: 978-1-59718-107-5, $79.95 / £49.99

Larry Nyhoff This text guides students in designing programs to solve real problems encountered in engineering and scientific applications. It gives students a solid understanding of how C++ can be used to process complex objects, including how classes can be built to model objects. Exercises and programming projects are included in each chapter and various ancillaries are accessible on the book’s website. A solutions manual and PowerPoint® slides are also available with qualifying course adoption.

Catalog no. K11207, May 2012, c. 728 pp.

Soft Cover, ISBN: 978-1-4398-2534-1 $89.95 / £57.99 Also available as eBook

Statistical Learning & Data Mining Practical Statistical Methods

Data Clustering in C++

A SAS Programming Approach Lakshmi V. Padgett

Guojun Gan Manulife Financial, Toronto, Canada

Centocor, Malvern, Pennsylvania, USA

This book presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. Omitting mathematical details and complicated formulae, it provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. The author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She also focuses on simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife.

Catalog no. K10634, April 2011, 304 pp.

ISBN: 978-1-4398-1282-2, $79.95 / £49.99 Also available as eBook

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An Object-Oriented Approach

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

Using object-oriented design and programming techniques in C++, this book explores the commonalities of all data clustering algorithms to create a flexible set of reusable classes that simplifies the implementation of any data clustering algorithm. The first part of the text reviews basic concepts of data clustering, the UML, object-oriented programming in C++, and design patterns. The second section develops the data clustering base classes. The third part implements several popular data clustering algorithms. Additional topics such as data pre-processing, data and cluster visualization, and cluster interpretation are briefly covered.

Catalog no. K12884, March 2011, 520 pp.

ISBN: 978-1-4398-6223-0, $89.95 / £57.99 Also available as eBook

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Statistical Learning & Data Mining Cost-Sensitive Machine Learning Edited by

Balaji Krishnapuram, Shipeng Yu, and R. Bharat Rao

A First Course in Machine Learning Simon Rogers University of Glasgow, Scotland

Mark Girolami

Siemens, Malvern, Pennsylvania, USA

University College London, United Kingdom

This volume is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process. The first part of the book describes well-established machine learning approaches for reducing data acquisition costs during training as well as approaches for reducing costs when systems must make predictions for new samples. The second part covers real-world applications, such as computer-aided medical diagnosis, that effectively trade off different types of costs.

Requiring minimal mathematical prerequisites, this classroom-tested text covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms, including classification, clustering, and projection algorithms. The MATLAB®/Octave scripts available online enable readers to recreate plots that appear in the book and investigate changing model specifications and parameter values. By experimenting with the various algorithms and concepts, readers see how an abstract set of equations can be used to solve real problems. A solutions manual is available upon qualifying course adoption.

Catalog no. K11789, December 2011, 331 pp.

ISBN: 978-1-4398-3925-6, $89.95 / £57.99 Also available as eBook

Statistical and MachineLearning Data Mining Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition Bruce Ratner DM STAT-1 Consulting, New York, New York, USA

Catalog no. K11175, October 2011, 305 pp.

ISBN: 978-1-4398-2414-6, $69.95 / £34.99 Also available as eBook

Statistical Learning and Data Science Edited by

Mireille Gettler Summa, Leon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, and Myriam Touati

Focusing on uniquely large-scale statistical models that effectively consider big data identifying structures (variables) with the appropriate predictive power in order to yield reliable, robust, relevant large scale analyses, this revised edition incorporates 13 new chapters, as well as expanded explanations of the author's own popular machine-learning GenIQ Model. The book highlights the needs of data analysts, regression modelers, non-regression modelers, and data miners across all industry sectors, delivering practical yet powerful, simple yet insightful quantitative techniques that reliably accommodate big data, as well as the small data implied within.

Series: Chapman & Hall/CRC Computer Science & Data Analysis

Catalog no. K12803, December 2011, 542 pp.

ISBN: 978-1-4398-6091-5, $79.95 / £49.99 Also available as eBook

Catalog no. K13059, December 2011, 243 pp.

ISBN: 978-1-4398-6763-1, $89.95 / £57.99 Also available as eBook

Various methodologies, including unsupervised data analysis, supervised machine learning, and semi-supervised techniques, have continued to develop to cope with the increasing amount of data collected through modern technology.

With a focus on applications, this volume presents contributions from some of the leading researchers in the different fields of data analysis.

Synthesizing the methodologies into a coherent framework, the book covers a range of topics, from large-scale machine learning to synthesis objects analysis.

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

21

Statistical Learning & Data Mining

Statistics for Business, Finance & Economics

Coming Soon!

Practical Graph Mining with R Edited by

Nagiza F. Samatova Oak Ridge National Laboratory, Raleigh, North Carolina, USA

Customer and Business Analytics Applied Data Mining for Business Decision Making Using R

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Daniel S. Putler

Integrating two important aspects of computer science (graph-based modeling and data mining techniques), this book provides a practical, doit-yourself approach for extracting interesting patterns from graph data. The self-contained text requires no prerequisite knowledge of data mining and includes many worked examples, exercises with solutions, and real-world applications and data sets. Each algorithm is presented with accompanying R code. A supporting website features additional resources, including PowerPoint® slides, R code, and data sets.

Robert E. Krider

Catalog no. K12799, September 2012, c. 480 pp.

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

University of British Columbia, Canada Simon Fraser University, Burnaby, Canada Chapman &Hall/CRC The R Series

A practical hands-on guide, this book covers database marketing, surveys, and other data sources for businesses. Each chapter introduces a method or model and ends with a detailed tutorial that guides students through an analysis of a real case.

The book takes a data mining approach, yet readers are encouraged to consider the substantive business problem rather than taking a purely exploratory approach to customer analytics. The text is suitable for advanced undergraduate or graduate courses in customer analytics, data mining for marketing, database marketing, marketing analytics, or business intelligence.

Catalog no. K14501, May 2012, c. 299 pp.

Soft Cover, ISBN: 978-1-4665-0396-0 $69.95 / £44.99 Also available as eBook

Foundations of Predictive Analytics

Quantitative Operational Risk Models

James Wu and Stephen Coggeshall ID Analytics, San Diego, California, USA Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Catalina Bolancé, Montserrat Guillén, Jim Gustafsson, and Jens Perch Nielsen

Drawing on the authors’ two decades of experience in applied modeling and data mining, this self-contained book presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas. It explains the algorithmic details behind each technique, including underlying assumptions and mathematical formulations, and discusses a variety of practical topics that are frequently missing from similar texts. Software and examples are available online.

Presenting a nonparametric approach to modeling operational risk data, this book offers a practical perspective that combines statistical analysis and management orientations.

It covers the statistical theory prerequisites and summarizes important contributions made in the past decade. The authors explain how to implement the new density estimation methods for analyzing the loss distribution in operational risk for banks and insurance companies. They also include SAS and R routines to implement all of the procedures discussed in the text.

Catalog no. K13186, February 2012, 337 pp.

ISBN: 978-1-4398-6946-8, $89.95 / £57.99 Also available as eBook

Catalog no. K14258, February 2012, 236 pp.

ISBN: 978-1-4398-9592-4, $79.95 / £44.99 Also available as eBook

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Statistics for Business, Finance & Economics Coming Soon!

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

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

The book has two parts. The first part teaches all the basics of probability and risk and about building and using BN models, while the second part goes into the detailed applications. The underlying BN algorithms appear in appendices rather than the main text since there is no need to understand these in order to build and use BN models. While purists have argued that only by understanding the algorithms can you understand the limitations and hence build efficient BN models, the authors overcome this by providing pragmatic advice about model building to ensure models are built efficiently. Their approach means that the main body of the text is free of the intimidating mathematics that has been a major impediment to the more widespread use of BNs. Selected Contents: Introduction. Probability and Bayes Basics.

From Bayes to Bayesian Nets. Defining the Probability Tables. Incorporating Continuous Variables. From Bayesian Nets to DecisionSupport Systems for Risk. Building Models From Data.

Catalog no. K10450, August 2012, c. 616 pp.

ISBN: 978-1-4398-0910-5, $79.95 / £49.99 Also available as eBook

Practical Spreadsheet Risk Modeling for Management Dale Lehman Alaska Pacific University, Anchorage, USA

Huybert Groenendaal EpiX Analytics, Boulder, Colorado, USA

Greg Nolder Denali Alaskan Federal Credit Union

This book offers a one-stop resource for performing quantitative risk analyses. The authors provide practical case studies along with detailed instruction and illustration of the features of ModelRisk®, the most advanced risk modeling spreadsheet software currently available. The specific examples in the text demonstrate a number of cutting-edge tools and techniques that are very powerful in risk analysis but are not available in other spreadsheet simulation programs. The book covers modeling complex correlations, aggregating uncertainty and variability, and estimating parameter and model uncertainty.

Catalog no. K12589, September 2011, 284 pp.

ISBN: 978-1-4398-5552-2, $89.95 / £57.99 Also available as eBook

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The Fundamental Rules of Risk Management Edited by

Nigel Da Costa Lewis Taking on risk is like building a bomb: when you ignore the fundamental rules, you bury it alive.

It will explode. Maybe not today or tomorrow, but one day it will explode. As you read through The Fundamental Rules of Risk Management, you will discover that the consequences to personal finances, professional careers, corporate survivability, and even nation states can be ruinous. In this thought-provoking text, Dr. Lewis provides examples and case studies to demonstrate how the rules of risk can work to protect and enhance investor value.

Catalog no. K10832, June 2012, c. 216 pp.

ISBN: 978-1-4398-1618-9, $69.95 / £44.99

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

23

Statistics for Business, Finance & Economics Risk Analysis in Finance and Insurance Second Edition Alexander Melnikov

Option Valuation A First Course in Financial Mathematics Hugo D. Junghenn

University of Alberta, Edmonton, Canada Chapman & Hall/CRC Financial Mathematics Series

Reorganized and expanded, this updated book introduces the main ideas, techniques, and stochastic models of financial mathematics. It focuses on the foundations and key concepts of the modern methodology of quantitative financial analysis, explores the problems of managing insurance risks, and examines the multiple intrinsic connections between insurance risks and financial risks. With more examples and problems, this edition contains an expanded section on the foundations of probability and stochastic analysis and covers new topics, including financial markets with stochastic volatility.

Catalog no. C0525, April 2011, 328 pp.

ISBN: 978-1-4200-7052-1, $89.95 / £57.99 Also available as eBook

Risk Monetization Converting Threats and Opportunities into Impact on Project Value Glenn R. Koller

The George Washington University, Washington, D.C., USA Chapman & Hall/CRC Financial Mathematics Series

With numerous examples and exercises, this classroom-tested text provides a straightforward introduction to the mathematics and models used in the valuation of financial derivatives. It examines the principles of option pricing in detail via standard binomial and stochastic calculus models and develops the requisite mathematical background as needed. The first nine chapters of the book describe option valuation techniques in discrete time using the binomial model. The remaining chapters illustrate the theory in continuous time, with an emphasis on the BlackScholes-Merton model. A solutions manual is available upon qualifying course adoption.

Catalog no. K14090, November 2011, 266 pp.

ISBN: 978-1-4398-8911-4, $59.95 / £38.99 Also available as eBook

An Introduction to Exotic Option Pricing Peter Buchen University of Sydney, Australia Chapman & Hall/CRC Financial Mathematics Series

Suitable for readers in any organization or area of expertise, this practical book addresses the organizational, political, cultural, and technical issues related to implementing a successful risk assessment, management, and monetization process. It gives examples of risk-monetization techniques applied in a variety of settings and discusses the typical risk situation for most projects and the shortcomings of conventional processes. It also describes how risk identification, assessment, management, and monetization processes are set up in an ideal environment as well as in imperfect situations.

In an easy-to-understand, nontechnical yet mathematically elegant manner, this book shows how to price exotic options, including complex ones, without performing complicated integrations or formally solving PDEs. It develops special pricing techniques based on the no-arbitrage principle and fully derives every price formula for the exotic options. The author incorporates a significant amount of original, previously unpublished material, such as the use of logvolutions and Mellin transforms to solve the Black–Scholes PDE. He also demystifies many esoteric issues underpinning the mathematical treatment of the subject.

Catalog no. K10960, October 2011, 328 pp.

ISBN: 978-1-4398-1829-9, $69.95 / £42.99 Also available as eBook

Catalog no. C9100, February 2012, 296 pp.

ISBN: 978-1-4200-9100-7, $79.95 / £49.99 Also available as eBook

24

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Statistics for Business, Finance & Economics Coming Soon!

Computational Methods in Finance Ali Hirsa Caspian Capital Management, LLC, New York, New York, USA Chapman & Hall/CRC Financial Mathematics Series

This text addresses a variety of numerical methods for pricing derivative contracts, including Fourier techniques, finite differences, numerical simulation, and Monte Carlo simulation methods—one of the first books to cover all of these techniques. After presenting the basics of pricing techniques, it covers key concepts of calibration and parameter estimation. Written by a popular professor at Columbia University and NYU’s Courant Institute, the book is suitable for any graduate course on computational finance in financial engineering and financial mathematics programs as well as for practitioners interested in computational methods in finance.

Catalog no. K11454, August 2012, c. 456 pp.

ISBN: 978-1-4398-2957-8, $89.95 / £59.99 Also available as eBook

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Quantitative Finance An Object-Oriented Approach in C++ Erik Schlogl University of Technology, Sydney, Australia Chapman & Hall/CRC Financial Mathematics Series

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Monte Carlo Simulation with Applications to Finance Hui Wang Brown University, Providence, Rhode Island, USA Chapman & Hall/CRC Financial Mathematics Series

Exploring the use of Monte Carlo simulation in finance, the author introduces advanced variance reduction techniques, covering such topics as importance sampling and stratified sampling.

He also discusses numerical approximation, option pricing, and sensitivity analysis. The text presents diffusion techniques for diffusion models, American options, and sensitivity analysis. It also contains various types of exercises, progressive MATLAB®-based coding assignments, and computational projects.

Catalog no. K12713, June 2012, c. 296 pp.

ISBN: 978-1-4398-5824-0, $79.95 / £49.99 Also available as eBook

Methods for Estimation and Inference in Modern Econometrics Stanislav Anatolyev New Economic School, Moscow, Russia

Nikolay Gospodinov Concordia University, Montreal, Quebec, Canada

A textbook for students and a reference guide for professionals, this text builds a foundation in the key methods and models of quantitative finance from the perspective of their implementation in C++. It introduces computational finance in a pragmatic manner, focusing on practical implementation. The author takes an object-oriented approach that starts from simple building blocks for assembling more complex and powerful models. The author expresses models and algorithms of the industry-standard C++ language and includes working C++ source code on a CD that accompanies the book.

This book covers important topics in econometrics. It discusses methods for efficient estimation in models defined by unconditional and conditional moment restrictions, inference in misspecified models, generalized empirical likelihood estimators, and alternative asymptotic approximations.

The first chapter provides a general overview of established nonparametric and parametric approaches to estimation and conventional frameworks for statistical inference. The next several chapters focus on the estimation of models based on moment restrictions implied by economic theory. The final chapters cover nonconventional asymptotic tools that lead to improved finite-sample inference.

Catalog no. C4797, September 2012, c. 506 pp.

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

Catalog no. K11735, June 2011, 234 pp.

ISBN: 978-1-4398-3824-2, $89.95 / £57.99 Also available as eBook

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25

Statistics for Business, Finance & Economics

Statistics for Social Science & Psychology

Economic Time Series Modeling and Seasonality

Event History Analysis with R

Edited by

William R. Bell, Scott H. Holan, and Tucker S. McElroy This book is a focused resource on the analysis of economic time series as it pertains to modeling and seasonality. It presents cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the crossfertilization between the fields of time series modeling and seasonal adjustment, as is reflected both in the contents of the chapters and in their authorship, with contributors coming from academia and government statistical agencies.

Catalog no. K12089, March 2012, 554 pp.

ISBN: 978-1-4398-4657-5, $99.95 / £63.99 Also available as eBook

Statistics for Social Science & Psychology

Göran Broström Professor emeritus of statistics, Centre for Population Studies, Umeå University Chapman &Hall/CRC The R Series

With an emphasis on social science applications, this book presents an introduction to survival and event history analysis. It focuses on practical applications in the fields of demography, epidemiology, and econometrics. The text includes a wide range of real examples, with data available online and supported by a dedicated R package for performing all of the analyses.

Keeping mathematical details to a minimum, the author covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times.

Catalog no. K11534, April 2012, 236 pp.

ISBN: 978-1-4398-3164-9, $79.95 / £49.99 Also available as eBook

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Latent Markov Models for Longitudinal Data Francesco Bartolucci, Alessio Farcomeni, and Fulvia Pennoni Exploring the theory and applications of latent Markov modeling in a common conceptual framework, this book presents a nontechnical overview of latent Markov models and their potential in socio-economic applications. The statistical approach of the text emphasizes inference and the use of models in applications. The book first describes the latent Markov model proposed by Wiggins, taking into account other models in the field, such as latent transition analysis and hidden Markov analysis. The authors then lead readers to the possibility of implementing, using, and calibrating the latest developments. They also provide ad hoc MATLAB® routines for fitting the proposed models.

Catalog no. K10884, August 2012, c. 320 pp.

ISBN: 978-1-4398-1708-7, $89.95 / £57.99

26

Analysis of Questionnaire Data with R Bruno Falissard INSERM U669, Paris, France

Addressing the problem of analysis of questionnaire data and interpretation of results, this book proposes a methodology that uses R software.

The author takes a practical approach to the subject, presenting principles first, followed by detailed examples of their application to real data. He discusses principles of data management and manipulation, and covers descriptive statistics, statistical modeling, reliability, and missing data. The book focuses on R packages that are readily available and integrates discussion of their implementation and code throughout. All the data sets and R code packages are provided on an associated website.

Catalog no. K10917, September 2011, 280 pp.

ISBN: 978-1-4398-1766-7, $89.95 / £57.99 Also available as eBook

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Statistics for Social Science & Psychology Informative Hypotheses Theory and Practice for Behavioral and Social Scientists Herbert Hoijtink University Utrecht, The Netherlands

Modern Statistics for the Social and Behavioral Sciences A Practical Introduction

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

Rand Wilcox

This detailed book discusses the evaluation of behavioral and social science hypotheses that are more informative than traditional null and alternative hypotheses. Requiring a minimal prerequisite knowledge of multivariate statistics, such as regression and ANOVA, it provides relevant information for those doing active research in the social and behavioral sciences. Informative Hypotheses: Theory and Practice for Behavioral and Social Scientists considers Bayesian and classical approaches and pays considerable attention to sample size determination. Software is available for all functions discussed in the book.

Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major insights: 1) justifying normality via the central limit theorem can require much larger sample sizes than once thought, 2) the impact of heavy-tailed distributions on power, measures of effect size, and measures of association can be devastating even with large sample sizes, and 3) heteroscedasticity can invalidate classic methods. Focusing on conceptual issues rather than complex computational details, it also provides a library of R functions for applying modern methods that effectively deal with these insights.

Catalog no. K13785, October 2011, 241 pp.

ISBN: 978-1-4398-8051-7, $79.95 / £49.99 Also available as eBook

Behavioral Research and Analysis An Introduction to Statistics within the Context of Experimental Design, Fourth Edition Max Vercruyssen Hawaii Academy, Honolulu, USA

Hal W. Hendrick Castle Pines Village, Colorado, USA

University of Southern California, Los Angeles, USA

Catalog no. K11557, August 2011, 862 pp.

ISBN: 978-1-4398-3456-5, $89.95 / £49.99 Also available as eBook

Experimental Design From Psychophysics to User Studies Douglas Cunningham Brandenburg University of Technology, Cottbus, Germany

Christian Wallraven Korea University, Seoul, Republic of Korea

This text provides an overview of basic statistical methods used in behavioral research, experimental design, and report writing. It uniquely integrates statistics within the context of experimental design and simplifies the process of planning, conducting, analyzing, and preparing an experimental or research study report. Reflecting the changes of the APA guidebook and including SAS statistical software in the end-of-chapter exercises, this updated fourth edition presents new statistical procedures and new examples in sport science, public health, gerontology, and biomedicine.

This book explains the basic terminology used to discuss experiments and takes a brief look at the more than 150-year history of experiments in psychology. It covers how to generalize from a few people to the whole population. The largest part of the book is dedicated to the most flexible, and arguably the most central, aspect of an experiment: What do the participants do?

Each chapter follows the same structure and includes two examples, one from traditional psychophysics and one using computer-animated facial expressions as stimuli.

Catalog no. K10935, October 2011, 299 pp.

ISBN: 978-1-4398-1802-2, $99.95 / £63.99 Also available as eBook

Catalog no. K00394, November 2011, 408 pp.

ISBN: 978-1-56881-468-1, $59.95 / £37.99 Also available as eBook

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

27

Environmental Statistics Coming Soon!

Simulating Nature A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition Arthur C. Petersen PBL Netherlands Environmental Assessment Agency, Bilthoven

Addressing how to manage the science-policy interface, this book presents a philosophical study of the issues surrounding uncertainty in scientific simulation, particularly concerning the role it plays in public policy regarding climate change.

The author, who participated in the United Nations’ Intergovernmental Panel on Climate Change (IPCC) plenaries in 2001 and 2007, discusses the assessment reports and workings of the IPCC. This second edition reflects the latest developments in climate change policy.

Catalog no. K14379, April 2012, 224 pp.

Soft Cover, ISBN: 978-1-4665-0062-4 $59.95 / £38.99 Also available as eBook

Spatial Statistics GeoSpatial Information Modeling and Thematic Mapping

Statistical Geoinformatics for Human Environment Interface Wayne L. Myers and Ganapati P. Patil Chapman & Hall/CRC Applied Environmental Statistics

A clear, concise discussion of spatial patterns of interaction between complexes of environmental process factors and human process factors, this book facilitates the convergence of the two sides for focus on the interactions between human factors and environmental factors at the interface.

It recognizes the information resources in the repertoire of each side and elucidates the informational elements with special relevance to the interface and ways of handling these elements effectively. The author takes an intellectual middle ground between spatial statistics, multivariate analysis, and geographic information systems.

Catalog no. C2876, August 2012, c. 216 pp.

ISBN: 978-1-4200-8287-6, $79.95 / £49.99 Also available as eBook

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Mohammed A. Kalkhan

Eric Parent and Etienne Rivot

Colorado State University, Fort Collins, USA

Series: Chapman & Hall/CRC Applied Environmental Statistics

Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. This book reviews the types and applications of geospatial information data, such as remote sensing, geographic information systems (GIS), and GPS, as well as their integration into landscape-scale geospatial statistical models and maps. Readers will learn the requirements and limitations of each geospatial tool.

With statistical data analysis methods, the text includes laboratory exercises using ArcInfo, ArcGIS, ArcView, ERDAS-IMAGINE, and other popular software for geospatial modeling. It also features case studies with examples.

Bayesian statistics are becoming the contemporary standard for treating ecological data. This book is designed for readers who are interested in the quantitative analysis of environmental data yet reluctant to apply ready-made technical recipes without understanding how and why they work. Mainly based on real case studies from fish population investigations, it highlights up-to-date ecological issues, including biodiversity, population behavior, and uncertainty, and shows how they could be revisited by using Bayesian modeling techniques. The text encourages readers to deal with advanced ecological issues in practice and to implement models of their own.

Catalog no. 69764, May 2011, 184 pp.

ISBN: 978-1-4200-6976-1, $79.95 / £33.99

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Catalog no. C9195, July 2012, c. 416 pp.

ISBN: 978-1-58488-919-9, $89.95 / £57.99 Also available as eBook

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Environmental Statistics

Spatial Data Analysis in Ecology and Agriculture Using R Richard E. Plant University of California, Davis, USA

Statistics in Engineering & Physical Science Statistical Techniques for Project Control Adedeji B. Badiru Air Force Institute of Technology, Dayton, Ohio, USA

Tina Kovach Dawn Foods Products, Detroit, Michigan, USA

This book provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. The book is written in terms of the analysis of four data sets, two from ecology and two from agriculture. These data sets are available online. The author guides readers through the analysis of each of these data sets, including setting the research objective, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. All of the R code described in the book is available online.

Industrial Innovation Series

Catalog no. K11009, March 2012, 648 pp.

ISBN: 978-1-4398-1913-5, $89.95 / £57.99 Also available as eBook

Catalog no. 83171, January 2012, 412 pp.

ISBN: 978-1-4200-8317-0, $99.95 / £63.99 Also available as eBook

Modelling and Quantitative Methods in Fisheries

Applied Reliability

Second Edition

Retired, Austin, Texas, USA

Malcolm Haddon

David C. Trindade

CSIRO, Hobart, Tasmania, Australia

A project can be simple or complex. In each case, proven project management processes must be followed. In all cases of project management implementation, control must be exercised in order to assure that project objectives are achieved. This book fills the void that exists in the application of statistical techniques to project control. Although designed as a practical guide for project management professionals, the book will also benefit students, researchers, and instructors.

Third Edition Paul A. Tobias

Bloom Energy

Revised and restructured, this second edition provides an accessible introduction to quantitative methods in fisheries. It features new material on tests and comparisons as well as new chapters on length-based models and uncertainty estimation using Bayesian methods. Employing a structured, logical, step-by-step approach, this text covers a range of topics, including simple linear regression, complex nonlinear modeling, methodology, and specific fields in fisheries. It also includes numerous real-world examples implemented in Excel, with workbooks for all examples available online.

This easy-to-use guide addresses basic descriptive statistics, reliability concepts, exponential distribution, Weibull distribution, and lognormal distribution. It also covers reliability data plotting, acceleration models, life test data analysis and systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling. Taking a practical and example-oriented approach to reliability analysis, the book provides detailed illustrations of software implementation throughout using several widely available software packages.

Software and other files are available online.

Catalog no. C561X, March 2011, 465 pp.

ISBN: 978-1-58488-561-0, $79.95 / £39.99 Also available as eBook

Catalog no. C4665, August 2011, 600 pp.

ISBN: 978-1-58488-466-8, $89.95 / £63.99 Also available as eBook

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

29

Statistics in Engineering & Physical Science

Networks and Systems

Advanced Risk Analysis in Engineering Enterprise Systems

Frank Beichelt

C. Ariel Pinto

Coming Soon!

Reliability and Maintenance

University of Witwatersrand, Johannesburg, South Africa

Peter Tittmann University of Applied Sciences, Mittweida, Germany

This book addresses the key parts of reliability theory: binary and multi-state monotone systems, network reliability, and maintenance theory. Accessible to engineers, statisticians, and mathematicians in reliability, this self-contained text provides many worked examples, algorithms, simulation methods, and exercises, with solutions in an appendix. Specific topics covered include disjoint sum representations of the system function, systems consisting of components with statistically dependent lifetimes, and lifetime and aging analyses of simple and binary monotone systems.

Catalog no. K11269, June 2012, c. 333 pp.

ISBN: 978-1-4398-2635-5, $99.95 / £63.99 Also available as eBook

Paul R. Garvey The MITRE Corporation, Bedford, Massachusetts, USA Statistics: A Series of Textbooks and Monographs

This book gives you advanced methods for tackling risk problems at the enterprise level. It focuses on the modeling, analysis, and management of risk in today’s complex engineering enterprise systems. The text presents a risk analytical framework for engineering enterprise systems and covers capability portfolio risk management, functional dependency network analysis, and extreme-event theory. It also discusses prioritization systems in highly networked enterprise environments and examines how to measure risks of extreme latencies in complex queuing networks.

Catalog no. K11256, April 2012, 480 pp.

ISBN: 978-1-4398-2614-0, $99.95 / £63.99 Also available as eBook

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Applied Operational Research with SAS

Essential Statistical Concepts for the Quality Professional

Ali Emrouznejad and William Ho

D. H. Stamatis

Aston Business School, Birmingham, UK

Using a wide range of OR optimization examples, this book demonstrates how the OR procedures in SAS work. The text is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making. The authors present the principles behind PROC OPTMODEL and other SAS procedures and describe the algorithms and methods for linear programming, integer linear programming, and goal programming models.

Catalog no. K11920, December 2011, 284 pp.

ISBN: 978-1-4398-4130-3, $89.95 / £57.99 Also available as eBook

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Old Dominion University, Norfolk, Virginia, USA

University of Phoenix School of Business, Southgate, Michigan, USA

Many books and articles have been written on how to identify the "root cause" of a problem.

However, the essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This book offers a new non-technical statistical approach to quality for effective improvement and productivity by focusing on very specific and fundamental methodologies as well as tools for the future. It examines the fundamentals of statistical understanding, and by doing that the book shows why statistical use is important in the decision making process.

Catalog no. K14213, May 2012, c. 510 pp.

ISBN: 978-1-4398-9457-6, $89.95 / £57.99 Also available as eBook

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More from Chapman & Hall/CRC

The R Series Statistical Computing in C++ and R Randall L. Eubank and Ana Kupresanin Chapman &Hall/CRC The R Series

• Integrates both C++ and R for the solution of statistical computing problems • Covers object-oriented programming in both languages • Provides an introduction to parallel processing in C++ and R Catalog no. C6650, December 2011, 556 pp.

ISBN: 978-1-4200-6650-0, $89.95 / £57.99 Also available as eBook

Coming Soon!

Programming Graphical User Interfaces with R Michael F. Lawrence and John Verzani • Provides a how-to guide for developing GUIs within R • Presents the fundamentals for users with limited knowledge of programming within R and other languages • Enables R programmers and users to design their own GUIs for specific functions or as learning tools • Offers a package in CRAN that contains all of the code and additional examples Catalog no. K12672, June 2012, c. 463 pp.

ISBN: 978-1-4398-5682-6, $79.95 / £49.99 Also available as eBook

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