Probability and Statistics by CRC Press

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 1

’re

a wh

. ng

rs W ffe NO ail o com UP E em ess. GN IV pr SI CLUS .crc X ww rE w fo at

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 2

Contents Introductory Probability and Statistics ....................3 Statistical Theory and Methods ..............................3 Computational Statistics ..........................................9 Statistical Learning & Data Mining........................12 Page 6

Page 8

Biostatistics ............................................................14 Statistics in Genetics, Bioinformatics and Computational Biology..........................................19 Statistics in Business, Finance & Economics ..........20 Statistics in Engineering and Physical Science ......21 Statistics for Social and Behavioral Sciences ..........22 Page 9

Page 12

Visit us at

www.crcpress.com

to view more information and complete tables of contents for these and many other related books. Page 16

Page 19

Join the CRC Press community! Sign up for email alerts at CRCPress.com and be the first to know about new books in your area of interest. You will also receive exclusive discounts only available through our email and print promotions. Take full advantage of your insider savings and free shipping when you buy directly from http://www.crcpress.com

Want to maximize your buying power? Order direct from our online store and

Receive FREE Standard Shipping with every order, big or small.

MBCSIG1 5.85x8.27 MC_8.29.11rd

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 3

Introductory Probability and Statistics Coming Soon!

A Whistle-Stop Tour of Statistics Brian Everitt Retired from King's College London, UK

This book introduces basic probability and statistics through bitesize coverage of key topics. Designed as a revision aid and study guide, it describes key concepts from probability and statistics in self-contained sections. It also makes an excellent reference for non-statisticians who need an easy-to-follow reference for basic statistical techniques. The text shows how statistics can be applied in the real world with examples, diagrams, and graphs to illustrate concepts. Catalog no. K13590, December 2011, c. 248 pp. Soft Cover, ISBN: 978-1-4398-7748-7 $39.95 / £25.99

Introduction to the Theory of Statistical Inference Hannelore Liero University of Potsdam, Germany

Silvelyn Zwanzig 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 second semester 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

Introductory Probability and Statistics Coming Soon!

Introduction to Probability with Texas Holdem Examples Frederic Paik Schoenberg University of California-Los Angeles, USA

Using problems and examples from Texas Holdem, this is an engaging textbook for an introductory course in probability. It covers all of the fundamentals, including permutations and combinations, conditional probability, Bayes’ rule, random variables, simulation, correlation, laws of large numbers, the central limit theorem, Brownian motion, Markov chains, and more. R code is available online for implementing topics in computational probability. Catalog no. K11367, December 2011, c. 192 pp. Soft Cover, ISBN: 978-1-4398-2768-0 $69.95 / £38.99

Statistical Theory and Methods Statistical Inference The Minimum Distance Approach Ayanendranath Basu, Hiroyuki Shioya, and Chanseok Park This book gives a comprehensive account of density-based 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. Catalog no. K10008, June 2011, 429 pp. ISBN: 978-1-4200-9965-2, $89.95 / £57.99 Also available as an eBook

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 4

Statistical Theory and Methods Simultaneous Inference in Regression

Smoothing Splines

Wei Liu

Methods and Applications

University of Southampton, UK

Yuedong Wang

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

University of California, Santa Barbara, USA

With examples and MATLAB® programs, this book provides a thorough overview of the construction methods and applications of simultaneous confidence bands for various inferential purposes. Most of the text covers normal-error linear regression models, although the author also describes the logistic regression model to show how simultaneous confidence bands can be constructed and used for generalized linear regression models. MATLAB programs and color figures are available for download on the author’s website Catalog no. K11385, 2010, 292 pp. ISBN: 978-1-4398-2809-0, $89.95 / £57.99 Also available as an eBook

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

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. 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. Catalog no. C7755, June 2011, 384 pp. ISBN: 978-1-4200-7755-1, $89.95 / £57.99 Also available as an eBook

Gaussian Process Regression Analysis for Functional Data

Coming Soon!

Jian Qing Shi

Stef Van Buuren

University of Newcastle upon Tyne, UK

TNO Quality of Life, Leiden, The Netherlands

Taeryon Choi

Series: Chapman & Hall/CRC Interdisciplinary Statistics

Korea University, Seoul, South Korea

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. MATLAB® and C codes are available on the author’s website.

Flexible Imputation of Missing Data

A practical guide for handling missing data, this book provides a flexible and accessible framework for multiple imputation along with strategies for obtaining effective solutions to these problems. The text is supported by many examples using real data taken from the author’s vast research involving missing data. All of the analyses can be replicated in R using the dedicated package MICE, which was developed by the author. Topics covered include multiple imputation, multivariate and univariate missing data, as well as issues of measurement, selection, and longitudinal data. Catalog no. K13103, February 2012, c. 280 pp. ISBN: 978-1-4398-6824-9, $89.95 / £57.99

Catalog no. K11716, July 2011, 216 pp. ISBN: 978-1-4398-3773-3, $99.95 / £63.99 Also available as an eBook

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 5

Statistical Theory and Methods Robust Nonparametric Statistical Methods

Introduction to Statistical Limit Theory

Second Edition

Northern Illinois University, Dekalb, USA

Alan M. Polansky

Thomas P. Hettmansperger Pennsylvania State University, University Park, USA

Joseph W. McKean Western Michigan University, Kalamazoo, USA Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

“… a fine capstone course in non-parametric statistics.” —MAA Reviews, June 2011

Presenting an extensive set of tools and methods for data analysis, this second edition includes more models and methods and significantly extends the possible analyses based on ranks. It contains a new section on rank procedures for nonlinear models, a new chapter on models with dependent error structure, and new material on the development of computationally efficient affine invariant/equivariant sign methods based on transformretransform techniques in multivariate models. The authors illustrate the methods using many real-world examples and R.

“This book is clearly aimed at the student learning the material. The prose is clear and graphs are used well to illustrate concepts. Students will really like the large number of worked concrete examples. … Each chapter has exercises and R projects that would be very helpful to solidify the understanding of the material in the chapter. These and the worked examples would make this an excellent choice for the student attempting to learn the material through self-study …” —MAA Reviews, June 2011

Catalog no. C6604, January 2011, 645 pp., ISBN: 9781-4200-7660-8, $89.95 / £57.99 Also available as an eBook

Catalog no. K10449, 2010, 553 pp. ISBN: 978-1-4398-0908-2, $99.95 / £63.99 Also available as an eBook

Coming Soon!

Introduction to General and Generalized Linear Models

A Computational Approach

Henrik Madsen and Poul Thyregod Technical University of Denmark, Lyngby Series: Chapman & Hall/CRC Texts in Statistical Science

Providing a flexible framework for data analysis and model building, this text focuses on the statistical methods and models that can help predict the expected value of an outcome, dependent, or response variable. It offers a sound introduction to general and generalized linear models using the popular and powerful likelihood techniques. Numerous examples show how the problems are solved with R.

Nonparametric Statistical Tests Markus Neuhauser 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, c. 256 pp. ISBN: 978-1-4398-6703-7, $89.95 / £57.99

Catalog no. C9155, 2010, 316 pp. ISBN: 978-1-4200-9155-7, $79.95 / £39.99 Also available as an eBook

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 6

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

Steve Brooks, Andrew Gelman, Galin Jones, and Xiao-Li Meng

Fifth Edition David J. Sheskin

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

“The Handbook of Markov Chain Monte Carlo becomes the third volume in the attractive and useful Chapman & Hall/CRC Handbooks of Modern Statistical Methods Series. The author list is world-class, developing 24 chapters, half on the theory side, half on applications. The handbook provides a state-of-the-art view of a technology that has revolutionized contemporary model fitting. Researchers at all levels of familiarity with MCMC will find novel morsels of material to chew on.” —Alan E. Gelfand, James B. Duke Professor of Statistical Science, Duke University, Durham, North Carolina, USA

Catalog no. C7941, May 2011, 619 pp. ISBN: 978-1-4200-7941-8, $99.95 / £63.99 Also available as an eBook

Handbook of Spatial Statistics Edited by

Alan E. Gelfand, Peter J. Diggle, Montserrat Fuentes and Peter Guttorp Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

“It is a comprehensive piece of work that summarizes current state of the developments of the spatial statistics in its multitude. The range of topics covered is impressive … useful and enlightening for a wide scope of readers — from beginners to rather specialized researchers … Anybody even mildly interested in the theory or applications of various parts of spatial statistics should read it, or even better, to have it handy as an authoritative and remarkably useful reference.” —ISCB News, No. 51, June 2011

Catalog no. C7287, 2010, 619 pp. ISBN: 978-1-4200-7287-7, $99.95 / £63.99 Also available as an eBook

Handbook of Parametric and Nonparametric Statistical Procedures Western Connecticut State University, Danbury, USA

Unsurpassed in accessibility, practicality, and scope, the fifth edition of this classic handbook provides up-to-date, in-depth coverage of more than 160 statistical procedures as well as both theoretical and practical statistical topics. Including two new chapters on statistical modeling, this updated fifth edition contains substantial new material on statistical quality control, meta-analysis and time series analysis. Each chapter presents at least one example of how to compute a statistical test and offers decision tables to help determine the appropriate test. Catalog no. K12706, April 2011, 1926 pp. ISBN: 978-1-4398-5801-1, $169.95 / £108.00 Also available as an eBook

Handbook of Fitting Statistical Distributions with R Zaven A. Karian Denison University, Granville, Ohio, USA

Edward J. Dudewicz Syracuse University, New York, USA

Along with in-depth coverage of cutting-edge applications and contributions from experts who offer deep insight on a range of topics, this comprehensive and authoritative handbook presents the latest and best methods, algorithms, and computations for fitting distributions to data. The book covers GLD methodology and fitting systems, real-world applications in agriculture, reliability estimation, hurricanes/typhoons/cyclones, hail storms, water systems, insurance and inventory management, and materials science. The accompanying CDROM includes the R programs used for many of the computations. Catalog no. C7117, 2010, 1718 pp. ISBN: 978-1-58488-711-9, $149.95 / £95.00 Also available as an eBook

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 7

Statistical Theory and Methods Optimal Experimental Design with R

Practical Multivariate Analysis

Dieter Rasch, Jurgen Pilz, Rob Verdooren, and Albrecht Gebhardt

Fifth Edition

This book 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 real-world 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 an eBook

Abdelmonem Afifi University of California, Los Angeles, USA

Susanne May University of Washington, Seattle, USA

Virginia A. Clark Consultant, Sequim, Washington, USA

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 an eBook

A Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling Phillip I. Good Consultant, Huntington Beach, California, USA

This practical guide discusses the applications of these resampling methods, focusing on the areas of microarrays and data mining. Each chapter contains a wealth of exercises along with R and Stata code. Written by a leading authority in the field, the text covers such topics as estimation, the bootstrap method, multivariate tests, decision trees, categorical data, multiple hypotheses, and model building. Catalog no. K12588, August 2011, 224 pp. ISBN: 978-1-4398-5550-8, $89.95 / £57.99

Bayesian Ideas and Data Analysis An Introduction for Scientists and Statisticians Ronald Christensen, Wesley Johnson, Adam Branscum, and Timothy E. Hanson Series: Chapman & Hall/CRC Texts in Statistical Science

Emphasizing the use of WinBUGS and R to analyze real data, this text presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. Catalog no. K10199, January 2011, 516 pp. ISBN: 978-1-4398-0354-7, $69.95 / £44.99 Also available as an eBook

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 8

Statistical Theory and Methods New!

Applied Time Series Analysis

Principles of Uncertainty Joseph B. Kadane

Wayne A. Woodward and Henry L. Gray

Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

Southern Methodist University, Dallas, Texas, USA

Series: Chapman & Hall/CRC Texts in Statistical Science

Alan C. Elliott

“It's a lovely book, one that I hope will be widely adopted as a course textbook.” —Michael Jordan, University of California, Berkeley, USA

“A careful, complete, and lovingly written exposition of the subjective Bayesian viewpoint by one of its most eloquent and staunch defenders. Summarizes a lifetime of theory, methods, and application developments for the Bayesian inferential engine. A must-read for anyone looking for a deep understanding of the foundations of Bayesian methods and what they offer modern statistical practice.” —Bradley P. Carlin, Professor and Head of Division of Biostatistics, University of Minnesota, Minneapolis, USA

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. • Well-written and comprehensive introduction to theory of Bayesian statistics

University of Texas Southwestern Medical Center at Dallas, USA Statistics: A Series of Textbooks and Monographs

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 time-dependent coefficients, wavelets, and more. The authors also provide a Windows-based time series software package. Catalog no. K10965, October 2011, 592 pp. ISBN: 978-1-4398-1837-4, $99.95 / £60.99

Coming Soon!

Bayesian Modeling of Ecological Data

• Each of the introductory chapters begins by introducing one new concept or assumption

Eric Parent

• Uses "just-in-time mathematics" — the introduction to mathematical ideas just before they are applied

Etienne Rivot

ENGREF, Paris, France

• Each chapter ends with a summary and exercises

Fisheries & Aquatic Sciences Center, Rennes Cedex, France

Selected Contents:

Statistics: A Series of Textbooks and Monographs

Probability. Conditional Probability and Bayes Theorem. Discrete Random Variables. Probability Generating Functions. Continuous Random Variables. Transformations. Normal Distribution. Making Decisions. Conjugate Analysis. Hierarchical Structuring of a Model. Markov Chain Monte Carlo. Multiparty Problems. Exploration of Old Ideas. Epilogue: Applications. Catalog no. K12848, May 2011, 503 pp. ISBN: 978-1-4398-6161-5, $89.95 / £57.99

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. It focuses on up-to-date ecological issues, including biodiversity, community behavior, and genomics, and shows how they could be revisited by using Bayesian modeling techniques. Highly practical, the text encourages readers to deal with advanced ecological issues in practice and to implement models of their own. Catalog no. C9195, January 2012, c. 352 pp. ISBN: 978-1-58488-919-9, $89.95 / £57.99

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 9

Computational Statistics R Graphics

Coming Soon!

Second Edition

Statistical Computing in C++ and R

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

Praise for the First Edition “…R Graphics is a must for many useRs and programmmeRs … Paul Murrell, a member of the R Core Development Team, has not only been the main author of ‘grid’ but has also been responsible for several recent enhancements to the underlying R graphics engine. Together with its online companion website, this book will be an indispensable resource for almost everyone interested in how to produce R graphics efficiently and intelligently.” —Martin Maechler, Swiss Federal Institute of Technology, Zurich

“Thanks to Paul Murrell’s new book, the secrets of both traditional graphics and the new, modern grid system get unveiled … a must-have for novices and professionals alike, the ultimate guide to the power (and beauty) of R graphics.” —David Meyer, Vienna University of Economics and Business Administration, R News

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.

Features • Comprehensive coverage of the core graphical packages used in R • New chapter on ggplot2 • New chapters on applications and extensions of R graphics

Selected Contents: An Introduction to R Graphics. Traditional Graphics: Simple Usage of Traditional Graphics. Customizing Traditional Graphics. Grid Graphics: Trellis Graphics: the lattice Package. The Grammar of Graphics: the ggplot2 Package. The grid Graphics Model. The grid Graphics Object Model. Developing New Graphics Functions and Objects. The Graphics Engine: Graphics Formats. Graphical Parameters. Graphics Packages: Graphics Extensions. Plot Extensions. Graphics for Categorical Data. Maps. Node-and-edge Graphs. 3-D Graphics. Dynamic and Interactive Graphics. Importing Graphics. Combining Graphics Systems.

Randall L. Eubank and Ana Kupresanin Arizona State University, Tempe, USA Chapman &Hall/CRC The R Series

Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and linear models motivation, optimization with maximum likelihood and nonlinear least squares motivation, and random number generation. While the text does require a working knowledge of both the basic concepts in statistics and experience in programming, it does not require knowledge specific to C++ or R.

Features • Integrates both C++ and R for the solution of statistical computing problems • Covers object-oriented programming in both languages • Uses C++ code in R and R functions in the C++ program • Presents applications of the C++ Standard Template Library for statistical computing purposes • Provides an introduction to parallel processing in C++ and R

Selected Contents: Introduction. Computer representation of numbers. A sketch of C++. Generation of pseudo-random numbers. Programming in R. Creating classes and methods in R. Numerical linear algebra. Numerical optimization. Abstract data structures. Data structures in C++. Parallel computing in C++ and R. An introduction to Unix. An introduction to R. C++ library extensions (TR1). The Matrix and Vector classes. The ranGen class. References. Index. Catalog no. C6650, December 2011, c. 568 pp. ISBN: 978-1-4200-6650-0, $89.95 / £57.99

Catalog no. K11535, June 2011, 546 pp. ISBN: 978-1-4398-3176-2, $79.95 / £49.99 Also available as an eBook

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 10

Computational Statistics Coming Soon!

Programming Graphical User Interfaces with R John Verzani CUNY/College of Staten Island, New York, USA

Michael Lawrence Chapman &Hall/CRC The R Series

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

Features • 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

Selected Contents: The Basic Ideas of Graphical User Interfaces. gWidgets: Overview. Containers. Control Widgets. RGtk2: Overview. Basic Components. Widgets using Models. Menus and Dialogs. Programming GUIs using Qt. Tcl Tk: Overview. Containers and Layout. Widgets. Web-Based GUIs. Catalog no. K12672, January 2012, c. 352 pp. ISBN: 978-1-4398-5682-6, $79.95 / £49.99

The R Primer Claus Thorn Ekstrom University of Copenhagen, Frederiksberg, Denmark

Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. Rather than explore the many options available for every command as well as the ever-increasing number of packages, the book focuses on the basics of data preparation and analysis and gives examples that can be used as a starting point. The numerous examples illustrate a specific situation, topic, or problem, including data importing, data management, classical statistical analyses, and highquality 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. While base R is used throughout, other functions or packages are listed if they cover or extend the functionality. After working through the examples found in this text, new users of R will be able to better handle data analysis and graphics applications in R. Additional topics and R code are available from the book’s supporting website at www.statistics.life.ku.dk/primer

Selected Contents: Importing Data: Reading spreadsheets. Importing data from other statistical software programs. Exporting data. Manipulating Data: Working with data frames. Factors. Transforming variables. Statistical Analyses: Descriptive statistics. Linear models. Generalized linear models. Methods for analysis of repeated measurements. Specific methods. Model validation. Contingency tables. Agreement. Multivariate methods. Resampling statistics and bootstrapping. Robust statistics. Non-parametric methods. Survival analysis. Graphics: High-level plots. More advanced graphics. Working with graphics. R: Getting information. R packages. The R workspace. Bibliography Index Catalog no. K12876, August 2011, 299 pp., Soft Cover ISBN: 978-1-4398-6206-3, $39.95 / £25.99

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 11

Computational Statistics Coming Soon!

An R Companion to Linear Statistical Models

Exploratory Multivariate Analysis by Example Using R

Christopher Hay-Jahans

Francois Husson, Sebastien Le, and Jerome Pages

University of Alaska-Southeast, Juneau, USA

AGROCAMPUS OUEST, Rennes, France

This companion manual was prepared to serve as an R supplement for textbooks on Linear Models. The manual provides computational and coding details on the use of R that textbooks do not. Topics covered include multiple linear regression, 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 code.

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

Catalog no. K13410, November 2011, c. 373 pp. ISBN: 978-1-4398-7365-6, $79.95 / £49.99

Using R for Data Management, Statistical Analysis, and Graphics Nicholas J. Horton Smith College, Northampton, Massachusetts, USA

Ken Kleinman Harvard Medical School, Boston, Massachusetts, USA

This book presents an easy way to learn how to perform an analytical task in R. It covers data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics. The text includes convenient indices organized by topic and R syntax and contains many example analyses. Data sets and code are available for download on the book’s website. Catalog no. K11360, January 2011, 297 pp., Soft Cover ISBN: 978-1-4398-2755-0, $59.95 / £38.99 Also available as an eBook

“It is an excellent book which I would strongly recommend as a secondary text, supporting or accompanying the main text for any advanced undergraduate or graduate course in multivariate analysis. … It would supplement well any primary textbook in an advanced undergraduate or graduate course in multivariate analysis.” —MAA Reviews, July 2011

“… a truly excellent [chapter] on clustering … is an example of what upper-division undergraduate writing should aspire to. … this enjoyable book and the FactoMineR package are highly recommended for an upper-division undergraduate or beginning graduatelevel course in MVA. The acid test for such a work must be whether it is likely to spark an interest in students and prepare them adequately for more detailed, serious study of the subject and this book easily passes that test.” —Journal of Statistical Software, April 2011, Vol. 40

Full of real-world case studies and practical advice, this book focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis when variables are quantitative, correspondence analysis and multiple correspondence analysis when variables are categorical, and hierarchical cluster analysis. Illustrates each statistical method with several real-world examples.

Features: • Contains data sets from different areas of application, including genomics, marketing, and sensory analysis • Presents methods from a geometric point of view that enables new ways to interpret the data • Uses clustering techniques in a principal components framework • Provides data sets and code on the book’s website Catalog no. K11614, January 2011, 240 pp. ISBN: 978-1-4398-3580-7, $79.95 / £49.99 Also available as an eBook

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 12

Computational Statistics 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 realworld data sets. Supporting materials are available on an associated Sabre-dedicated website.

Catalog no. K10680, April 2011, 304 pp. ISBN: 978-1-4398-1326-3, $89.95 / £57.99 Also available as an eBook

New!

Computational Statistics Practical Statistical Methods A SAS Programming Approach Lakshmi V. Padgett 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. Catalog no. K10634, April 2011, 304 pp. ISBN: 978-1-4398-1282-2, $79.95 / £49.99 Also available as an eBook

Statistical Learning and Data Mining

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

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, auto-regressive errors, and Bayesian variable selection. Catalog no. K11808, September 2011, 372 pp. ISBN: 978-1-4398-3954-6, $69.95 / £44.99

Data Mining with R Learning with Case Studies Luís Torgo University of Porto, Portugal Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-ityourself approach of the text, the supporting website provides data sets and R code. Catalog no. K10510, 2010, 305 pp. ISBN: 978-1-4398-1018-7, $79.95 / £49.99 Also available as an eBook

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 13

Statistical Learning and Data Mining Second Edition of a Bestseller!

New!

Bayesian Artificial Intelligence

Statistical Learning and Data Science

Second Edition

Edited by

Kevin B. Korb and Ann E. Nicholson Monash University, Clayton, Victoria, Australia Series: Chapman & Hall/CRC Computer Science & Data Analysis

Updated and expanded, the second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers, along with new applications and case studies. It includes a new section that addresses foundational problems with causal discovery and Markov blanket discovery and a new section that covers methods of evaluating causal discovery programs. Supplemental materials are available on the book’s website.

Catalog no. K10816, 2010, 491 pp. ISBN: 978-1-4398-1591-5, $89.95 / £57.99 Also available as an eBook

Mireille Gettler Summa, Leon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, and Myriam Touati Series: Chapman & Hall/CRC Computer Science & Data Analysis

Various data analysis and statistical learning methodologies 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 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. Catalog no. K13059, October 2011, 227 pp. ISBN: 978-1-4398-6763-1, $89.95 / £57.99

Coming Soon!

A First Course in Machine Learning

Cost-Sensitive Machine Learning

Simon Rogers University of Glasgow, Scotland

Mark Girolami University College London, UK

Offering a complete introduction to the fundamental concepts underlying machine learning theory, this text presents modern methods and mathematical foundations needed to enable further study. Case studies illustrate interesting applications from engineering, computer science, and the life sciences. A supporting website provides MATLAB® implementations of all methods described in the text along with other ancillary material. Solutions manual available upon qualifying course adoption Catalog no. K11175, November 2011, c. 320 pp. ISBN: 978-1-4398-2414-6, $69.95 / £34.99

Edited by

Balaji Krishnapuram, Shipeng Yu, and R. Bharat Rao Siemens, Malvern, Pennsylvania, USA

The first comprehensive source on cost-sensitive learning, this reference focuses on various research domains in machine learning that attempt to solve cost-sensitive learning with simplifying assumptions. The book explicitly deals with tradeoffs between the various costs and benefits inherent in many domains of machine learning research, including semi-supervised learning, active learning, active feature acquisition, and inductive transfer learning. It covers recently developed methods, along with several applications of cost-sensitive learning, including natural language processing, computer vision, medical applications, web ads, and marketing. Catalog no. K11789, December 2011, c. 328 pp. ISBN: 978-1-4398-3925-6, $89.95 / £57.99

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 14

Statistical Learning and Data Mining

Biostatistics

Data Clustering in C++

Clinical Trial Data Analysis Using R

An Object-Oriented Approach

Ding-Geng (Din) Chen

Guojun Gan Manulife Financial, Toronto, Canada Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Using object-oriented design and programming techniques in C++, this book explains how to implement data clustering algorithms. The author presents 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 and object-oriented programming in C++. The second section develops the data clustering base classes. The third part implements popular data clustering algorithms. Catalog no. K12884, March 2011, 520 pp. ISBN: 978-1-4398-6223-0, $89.95 / £57.99 Also available as an eBook

University of Rochester Medical Center, New York, USA

Karl E. Peace Jiann-Ping Hsu, Georgia Southern University, Statesboro, USA Chapman & Hall/CRC Biostatistics Series

This book thoroughly covers biostatistical analyses of clinical trial data and shows step by step how to implement the statistical methods using R. Each chapter presents examples of clinical trials based on the authors’ actual experiences in clinical drug development. Various biostatistical methods for analyzing the data are then identified. The authors also develop analysis code using appropriate R packages and functions. This approach enables readers to gain an understanding of the analysis methods and R implementation so that they can use R to analyze their own clinical trial data. Catalog no. K11861, January 2011, 387 pp. ISBN: 978-1-4398-4020-7, $89.95 / £57.99 Also available as an eBook

Bestseller!

Exploratory Data Analysis with MATLAB Second Edition Wendy L. Martinez The Department of Defense, Fredericksburg, Virginia, USA

Angel R. Martinez Strayer University, Fredericksburg, Virginia, USA

Jeffrey L. Solka The Department of the Navy, Dahlgren, Virginia, USA

Like its bestselling predecessor, this second edition uses numerous examples and applications to show how EDA methods are used in practice. This edition covers many innovative approaches for dimensionality reduction, clustering, and visualization, including nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, and independent component analysis, as well as smoothing splines, probabilistic latent semantic analysis, spectral-based clustering, a rangefinder boxplot, scatterplots with marginal histograms, biplots, and Andrews’ images method. MATLAB® codes are available for download on the book’s website. Catalog no. K10616, January 2011, 530 pp. ISBN: 978-1-4398-1220-4, $89.95 / £57.99 Also available as an eBook

Coming Soon!

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

Focusing on visualization and computational approaches with an emphasis on the importance of simulation, Biostatistics: A Computing Approach introduces and compares the usefulness of modern and classical biostatistical methods. The book covers essential topics in biostatistical science, including simple linear regression, multivariate regression, repeated measure, nonparametric analysis, survival analysis, sample size, and power calculations. Assuming only basic knowledge of probability and statistics, the text offers numerous practical applications and detailed worked examples taken from the medical area, all computed using R and SAS, as well as exercises with solutions. Catalog no. C8342, December 2011, c. 320 pp. ISBN: 978-1-58488-834-5, $79.95 / £39.99

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 15

Biostatistics Exercises and Solutions in Biostatistical Theory Lawrence L. Kupper, Brian H. Neelon, and Sean M. O'Brien Series: Chapman & Hall/CRC Texts in Statistical Science

Drawn from nearly four decades of Lawrence L. Kupper’s teaching experiences, this text presents theoretical statistical concepts, numerous exercises, and detailed solutions that span topics from basic probability to statistical inference. The text links theoretical principles to real-world situations, including some of the authors’ own biostatistical work that has addressed complicated design and analysis issues in the health sciences. The authors explain the biostatistical principles needed to solve the exercises, which range in level of difficulty from fairly basic to more challenging.

Advanced Bayesian Methods for Medical Test Accuracy Lyle D. Broemeling Broemeling and Associates, Medical Lake, Washington, USA Chapman & Hall/CRC Biostatistics Series

This book covers the 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 and at the end of each chapter. Catalog no. K11763, August 2011, 487 pp. ISBN: 978-1-4398-3878-5, $139.95 / £89.00

Catalog no. C7222, January 2011, 420 pp., Soft Cover ISBN: 978-1-58488-722-5, $49.95 / £24.99 Also available as an eBook

Measures of Interobserver Agreement and Reliability

Statistical Evaluation of Diagnostic Performance

Second Edition

Topics in ROC Analysis

Mohamed M. Shoukri

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

King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia Chapman & Hall/CRC Biostatistics Series

Chapman & Hall/CRC Biostatistics Series

Exploring applications in medical research and clinical epidemiology, this text continues to cover important issues related to the design and analysis of reliability and agreement studies. This edition contains a new chapter that describes various models for methods comparison studies as well as a new chapter on the analysis of reproducibility using the within-subjects coefficient of variation. It also emphasizes sample size determination and the definition of the subjects’ and raters’ population. An accompanying CD-ROM includes data sets and SAS code.

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. K10539, January 2011, 291 pp. ISBN: 978-1-4398-1080-4, $99.95 / £63.99 Also available as an eBook

Catalog no. K10617, July 2011, 245 pp. ISBN: 978-1-4398-1222-8, $89.95 / £57.99 Also available as an eBook

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 16

Biostatistics Coming Soon!

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

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

Chapman & Hall/CRC Biostatistics Series This acclaimed book covers the principles and methodologies in adaptive design and analysis that pertain to adaptations made to trial or statistical procedures based on accrued data of ongoing clinical trials. It presents a well-balanced summary of current regulatory perspectives, recently developed statistical methods, and statistical tests for seamless phase II/III adaptive designs. This edition features two new chapters as well as a complete rewrite of the chapter on computer simulation. It also includes computer simulations and various case studies to ensure a practical understanding of the methodologies.

Adaptive and Flexible Clinical Trials Richard Chin Institute for One World Health, San Francisco, California, USA

The recent advances in web-based real-time data entry and novel statistical methods have made adaptive clinical trials practical and attractive. Suitable for readers in academia, industry, and government involved in drug development, this is the first book that comprehensively explains all essential aspects of adaptive clinical trials. It discusses, without the use of highly technical statistical jargon, the design, conduct, and execution of these trials. Catalog no. K11738, August 2011, 198 pp. ISBN: 978-1-4398-3832-7, $89.95 / £57.99

Catalog no. K11837, December 2011, c. 376 pp. ISBN: 978-1-4398-3987-4, $89.95 / £57.99

Bayesian Adaptive Methods for Clinical Trials Scott M. Berry, Bradley P. Carlin, J. Jack Lee, and Peter Muller

Edited by

Annpey Pong

Chapman & Hall/CRC Biostatistics Series

This book explores the growing role of Bayesian thinking in clinical trial analysis. Covering Phase I, II, and III clinical trials, it establishes the basic principles before extending them to specific phases and endpoints. The authors also discuss special topics that span different phases of the process, including the use of historical data, equivalence studies, multiplicity and multiple comparisons, and subgroup analysis. They provide many detailed examples drawing on real data sets. The R and WinBUGS codes used throughout are available on supporting websites. Catalog no. K11217, January 2011, 323 pp. ISBN: 978-1-4398-2548-8, $89.95 / £57.99 Also available as an eBook

Handbook of Adaptive Designs in Pharmaceutical and Clinical Development Merck Research Laboratories, Rahway, New Jersey, USA

Shein-Chung Chow Duke University School of Medicine, Durham, North Carolina, USA

This handbook provides a comprehensive and unified presentation of the principles and latest statistical methodologies used when modifying trial procedures based on accrued data of ongoing clinical trials. The book gives a well-balanced summary of current regulatory perspectives, presents real-world examples of a range of adaptive designs, and examines issues commonly encountered when applying adaptive design methods in clinical trials. Catalog no. K10507, January 2011, 496 pp. ISBN: 978-1-4398-1016-3, $99.95 / £63.99 Also available as an eBook

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 17

Biostatistics Design and Analysis of NonInferiority Trials Mark D. Rothmann Silver Springs, Maryland, USA

Brian L. Wiens Alcon Laboratories, Fort Worth, Texas, USA

Ivan S.F. Chan

Coming Soon!

Randomized Clinical Trials of Nonpharmacologic Treatments Edited by

Isabelle Boutron and Philippe Ravaud

Merck & Company, North Wales, Pennsylvania, USA

INSERM U738, Paris, France

Chapman & Hall/CRC Biostatistics Series

David Moher

This book 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. The book provides detailed mathematical approaches along with their mathematical properties. Catalog no. C8040, July 2011, 454 pp. ISBN: 978-1-58488-804-8, $89.95 / £57.99 Also available as an eBook

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, nonimplantable devices, rehabilitation, psychoteherapy, and behavioral interventions. This book focuses on the methods of assessing nonpharmacological treatments, highlighting specific issues and discussing all possible design of trials. It provides practical examples to underline the issues and solutions in assessing nonpharmacological treatment in trials. Arguably the first book to exclusively explore this topic, it discusses various categories of treatments from surgical procedures to psychotherapy. Catalog no. C8017, December 2011, c. 296 pp. ISBN: 978-1-4200-8801-4, $99.95 / £63.99

Controversial Statistical Issues in Clinical Trials

Coming Soon!

Shein-Chung Chow

Third Edition

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

Edited by

Chapman & Hall/CRC Biostatistics Series

John Crowley and Antje Hoering

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.

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 research. New topics in this edition include Bayesian trial design and genome-wide association studies. This edition also contains numerous figures to better explain concepts and examples.

Catalog no. K12247, June 2011, 611 pp. ISBN: 978-1-4398-4961-3, $99.95 / £63.99 Also available as an eBook

Catalog no. K12872, March 2012, c. 700 pp. ISBN: 978-1-4398-6200-1, $119.95 / £76.99

Handbook of Statistics in Clinical Oncology

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 18

Biostatistics Monte Carlo Simulation for the Pharmaceutical Industry

Flexible Parametric Survival Analysis Using Stata

Concepts, Algorithms, and Case Studies

Beyond the Cox Model

Mark Chang

University College London and MRC Clinical Trials Unit, UK

AMAG Pharmaceuticals, Lexington, Massachusetts, USA

Patrick Royston

Paul C. Lambert

Chapman & Hall/CRC Biostatistics Series

University of Leicester, UK

Helping you become a skillful "simulator," this book provides broad coverage of the drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and methods for carrying out computer simulations efficiently; covers descriptive and pseudocode algorithms that provide the basis for implementing the simulation methods; and illustrates real-world problems through case studies. The author discusses many key topics, including game theory, adaptive design, molecular design, prescription drug marketing, biological pathway simulation, genetic programming, and pharmacokinetic modeling.

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. N10372, August 2011, 339 pp., Soft Cover ISBN: 978-1-59718-079-5, $79.95 / £49.99

Catalog no. K11621, January 2011, 564 pp. ISBN: 978-1-4398-3592-0, $89.95 / £57.99 Also available as an eBook

Statistical Thinking in Epidemiology Yu-Kang Tu and Mark S. Gilthorpe

Hans van Houwelingen and Hein Putter

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 strategies with which 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. The authors also use vector geometry where applicable to provide an intuitive understanding of important statistical concepts. Catalog no. K10018, July 2011, 231 pp. ISBN: 978-1-4200-9991-1, $89.95 / £57.99 Also available as an eBook

Dynamic Prediction in Clinical Survival Analysis Leiden University, The Netherlands 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 that is taken from the authors’ collaborative research. R programs are provided for implementing the methods. Catalog no. K11593, December 2011, 248 pp. ISBN: 978-1-4398-3533-3, $89.95 / £57.99

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 19

Statistics in Genetics, Bioinformatics and Computational Biology New Edition of a Bestseller!

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

Richly illustrated in color, this 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. R code is available on an accompanying CD-ROM.

Coming Soon!

Stochastic Modelling for Systems Biology Second Edition Darren J. Wilkinson School of Mathematics and Statistics, Newcastle University, UK Series: Chapman & Hall/CRC Mathematical & Computational Biology

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 kinetics and approximate algorithms. It also greatly expands the coverage of statistical inference, including material on network inference and parameter inference. Updated computing aspects include the use of the new SBML Level 3. Catalog no. K11715, November 2011, c. 368 pp. ISBN: 978-1-4398-3772-6, $89.95 / £57.99

Catalog no. K10487, September 2011, 1036 pp. ISBN: 978-1-4398-0975-4, $89.95 / £57.99

Coming Soon!

Time Series Modeling of Neuroscience Data Tohru Ozaki Institute of Statistical Mathematics, Tokyo, Japan

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. The book is supported by many real examples to illustrate the methods provides computational toolbox on the web, which enables readers to apply the methods to real data. Catalog no. C4602, January 2012, c. 448 pp. ISBN: 978-1-4200-9460-2, $99.95 / £63.99

Coming Soon!

Statistics of Medical Imaging Tianhu Lei University of Pennsylvania & Children's Hospital, Philadelphia, USA Series: Chapman & Hall/CRC Interdisciplinary Statistics

Providing a unified framework for study, this book reflects the extensive work being done in the statistical aspects of medical imaging. It presents a complete look at medical imaging and statistics, from the statistical aspects of imaging technology to the statistical analysis of images. It discusses the statistical principles underlying medical imaging and offers reference material for researchers involved in the design of new technology. Illustrations are included throughout as are many real examples, exercises, and algorithms. Catalog no. C8842, January 2012, c. 416 pp. ISBN: 978-1-4200-8842-7, $99.95 / £63.99

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 20

Statistics in Business, Finance and Economics Coming Soon!

Applied Operational Research with SAS Ali Emrouznejad and William Ho Aston Business School, Birmingham, UK

Designed specifically for SAS users in operational research, this book focuses on the most recent development in SAS/OR optimization, PROC OPTMODEL. It contains a wide range of OR optimization problems that demonstrate how the SAS/OR procedures work. It includes single criterion, project management decision, printed circuit board assembly, and multiple criteria decision making problems. Quite possibly the first book to cover the application of SAS/OR procedures to OR problems, it formulates OR problems as various types of mathematical models, including linear programming, integer linear programming, and global programming models.

New!

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

Extreme value theory is important for assessing the risk of highly unusual events, such as financial market crashes. This book presents a synthesis of research on the field, with emphasis on dependent observations. It covers several modern topics, such as compound Poisson approximation, that have not been focused on in other books. With examples from finance and insurance to illustrate methods, this book also includes exercises and solutions, making it useful as a self-study tool or a course text. Catalog no. K11611, September 2011, 399 pp. ISBN: 978-1-4398-3574-6, $99.95 / £63.99

Catalog no. K11920, December 2011, c. 360 pp. ISBN: 978-1-4398-4130-3, $89.95 / £57.99

Handbook of Empirical Economics and Finance

New!

Practical Spreadsheet Risk Modeling for Management Dale Lehman, Huybert Groenendaal, and Greg Nolder 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

Edited by

Aman Ullah University of California, Riverside, USA

David E. A. Giles University of Victoria, British Columbia, Canada Statistics: A Series of Textbooks and Monographs

This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. Well-recognized experts emphasize inferential issues that transpire in the analysis of cross-sectional, time series, and panel databased empirical models in economics, finance, and related disciplines. Containing previously unpublished material on econometrics, the book focuses on micro (cross-section), macro and financial (time series), and panel data models. It provides a balanced viewpoint of different philosophical positions and statistical tools. Catalog no. C7035, January 2011, 532 pp. ISBN: 978-1-4200-7035-4, $149.95 / £95.00 Also available as an eBook

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 21

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

Nikolay Gospodinov Concordia University, Montreal, Quebec, Canada

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. K11735, June 2011, 234 pp. ISBN: 978-1-4398-3824-2, $89.95 / £57.99 Also available as an eBook

Coming Soon!

Economic Time Series Modeling and Seasonality

Statistics in Engineering and Physical Science New!

Applied Reliability Paul A. Tobias Retired, Austin, Texas, USA

David C. Trindade Sun Microsystems, Inc., Palo Alto, California, USA

This popular book is an easy-to-use guide that addresses basic descriptive statistics, reliability concepts, the exponential distribution, the Weibull distribution, and the 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, this book provides detailed illustrations of software implementation throughout, using several widely available software packages. Catalog no. C4665, September 2011, 600 pp. ISBN: 978-1-58488-466-8, $89.95 / £63.99

Coming Soon!

Advanced Risk Analysis in Engineering Enterprise Systems C. Ariel Pinto Old Dominion University, Norfolk, Virginia, USA

Edited by

Paul R. Garvey

William R. Bell, Scott H. Holan, and Tucker S. McElroy

The MITRE Corporation, Bedford, Massachusetts, USA Statistics: A Series of Textbooks and Monographs

Edited to ensure a unified viewpoint with common notation and cross-referencing, this practical volume on econometrics focuses on the key topics of seasonality and modeling. It covers frequency domain properties of signal extraction filters, the Akaike Information Criterion and model selection criteria, diagnostics for seasonal adjustment, calendar adjustments of seasonal time series, properties of forecast errors for models with misspecified regressors, and generalized airline models for modeling seasonality. Examples, case studies, data, and code are available on the book’s web page.

Presenting a series of advanced topics in modern risk analysis, this work highlights the modeling, analysis, and management of risk in today’s complex engineering enterprise systems. Extending far beyond the scope common to traditional systems, it provides a detailed investigation of extreme events, including the risks of extreme events in complex queuing systems. Chapters cover elements of risk and decision theory, analytical framework, risk co-relationships, functional dependency network analysis, decision-theoretic algorithms, prioritization systems, and complex queuing systems. Exercises are provided at the end of each chapter.

Catalog no. K12089, January 2012, c. 496 pp. ISBN: 978-1-4398-4657-5, $99.95 / £63.99

Catalog no. K11256, December 2011, c. 544 pp. ISBN: 978-1-4398-2614-0, $99.95 / £63.99

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

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 22

Statistics for Social and Behavioral Sciences Coming Soon!

Informative Hypotheses Theory and Practice for Behavioral and Social Scientists Herbert Hoijtink University Utrecht, The Netherlands Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

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. The book considers Bayesian and classical approaches and pays considerable attention to sample size determination. Software is available for all functions discussed in the book.

Applied Survey Data Analysis Steven G. Heeringa, Brady T. West, and Patricia A. Berglund Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

With many examples and exercises based on major real-world survey data sets, this book provides a practical statistical overview of the analysis of complex sample survey data. It presents many methods and models for survey data analysis, including the linear regression, generalized linear, Cox proportional hazards, and discrete time models. Although Stata is used for most examples in the text, other software code is also offered on the book’s website. Catalog no. C8066, 2010, 487 pp. ISBN: 978-1-4200-8066-7, $79.95 / £49.99 Also available as an eBook

Catalog no. K13785, November 2011, c. 243 pp. ISBN: 978-1-4398-8051-7, $79.95 / £49.99

Modern Statistics for the Social and Behavioral Sciences

New!

A Practical Introduction

Bruno Falissard

Rand Wilcox

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 a website.

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

University of Southern California, Los Angeles, USA

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. The book also provides a library of R functions for applying modern methods that effectively deal with these insights.

Catalog no. K10917, September 2011, 272 pp. ISBN: 978-1-4398-1766-7, $89.95 / £57.99

Catalog no. K11557, July 2011, 862 pp. ISBN: 978-1-4398-3456-5, $89.95 / £49.99

SAVE 20% when you order online and enter Promo Code 499HM

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 23

CRC_MBCSIG1 5.85x8.27 MC:MBCSIG1 5.85x8.27 MC 9/9/11 1:56 PM Page 24

Enter Promo Code 499HM to SAVE 20% Offer expires June 30, 2012

Stay Connected with CRC Press Use the QR tag with your smartphone

CRC Press/Taylor & Francis Group 1-800-634-7064 • 1-561-994-0555 • +44 (0) 1235 400 524 e-mail: orders@taylorandfrancis.com web: www.crctextbooks.com