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Contents

Introductory Statistics & General References ............3

Statistical Theory & Methods ................................5

Biostatistics ..........................................................10

Computational Statistics ......................................17

Statistical Learning & Data Mining......................20

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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Page 17 Page 30

Page 31

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Page 31

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3

Introductory Statistics & General References

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

A Whistle-StopTour ofStatisticsBrian E. EverittProfessor Emeritus, Institute of Psychiatry, King's College, London

Written by Brian S. Everitt, the author of over 60statistical texts, A Whistle-Stop Tour of Statisticsintroduces basic probability and statisticsthrough bite-size coverage of key topics. Areview aid and study guide for undergraduatestudents, it presents descriptions of key conceptsfrom probability and statistics in self-containedsections. An accessible reference to the key concepts inprobability and statistics, this book

• Introduces each concept through bite-sizedescriptions and presents interesting real-world examples

• Includes plenty of diagrams and graphs to clarify and illustrate topics

• Provides a concise summary of ten majorareas of statistics, including survival analysisand 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 LinearModel

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-FreeResearchPhilip GoodConsultant, Huntington Beach,California, USA

This book is designed to assist in the transitionfrom student to researcher. Step-by-step pre-scriptions, a glossary grouped by related but dis-tinct terms, numerous worked-through examples,and the R code for less-widely available statisticaltechniques aid in making use of the material.Readers will learn when to use statistics, the bestways to cope with variation, how to design anexperiment, how to determine optimal samplesize, and how to collect useable data for experi-ments, 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 andLosses. Coping with Variation. ExperimentalDesign. Data Collection. Fundamentals. QualityControl. Data Analysis. Describing the Data.Testing Hypotheses I. Multiple Variables andMultiple Tests. Confidence Intervals and TestingHypotheses. Sample Size Determination.Building Models. Ordinary Least Squares.Alternatives. Decision Trees. Reporting YourResults. Reports. Oral Presentations. BetterGraphics. Non-Random Samples. Cohort andCase 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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Introduction tothe Theory ofStatisticalInferenceHannelore LieroUniversity of Potsdam, Germany

Silvelyn ZwanzigUppsala University, Sweden

Series: Chapman & Hall/CRCTexts in Statistical Science

Based on the authors’ lecture notes, this textpresents concise yet complete coverage of sta-tistical inference theory, focusing on the funda-mental classical principles. Unlike related text-books, it combines the theoretical basis of statis-tical inference with a useful applied toolbox thatincludes linear models. Suitable for a second-semester undergraduate course on statisticalinference, the text offers proofs to support themathematics and does not require any use ofmeasure theory. It illustrates core concepts usingcartoons and provides solutions to all examplesand problems.

Catalog no. K12437, July 2011, 284 pp.Soft Cover, ISBN: 978-1-4398-5292-7$69.95 / £29.99Also available as eBook

Abraham De MoivreSetting the Stage forClassical Probabilityand Its ApplicationsDavid R. BellhouseUniversity of Western Ontario,London, Canada

This book is the first biography of Abraham DeMoivre based on recently discovered material. Itdiscusses the status of statistics and probabilitybefore and during De Moivre’s time. The textcovers his theories as well as the work of keyplayers and those he influenced. Along withexploring the development of probability theo-ry, the book describes its applications in medi-cine, insurance, and astronomy. The author alsoexamines the diffusion of ideas about probabili-ty in popular literature.

Catalog no. K00321, October 2011, 266 pp.ISBN: 978-1-56881-349-3, $45.00 / £28.99Also available as eBook

Introduction to Probabilitywith TexasHold’emExamplesFrederic PaikSchoenbergUniversity of California-Los Angeles, USA

This classroom-tested book illustrates both stan-dard and advanced probability topics usingTexas Hold’em, rather than the typical balls inurns. It covers basic probability rules, standardmodels for describing collections of data, andthe laws of large numbers as well as moreadvanced topics, such as the arcsine law andrandom walks. The author includes examples ofactual hands of Texas Hold’em from the WorldSeries of Poker and other major tournaments. Adedicated R package that simulates hands andtournaments is freely available from CRAN.

Catalog no. K11367, December 2011, 199 pp.Soft Cover, ISBN: 978-1-4398-2768-0$49.95 / £31.99Also available as eBook

Handbook of ScientificProposalWritingA.Yavuz OruçUniversity of Maryland, College Park, USA

Written for students and researchers in all fieldsand disciplines, this reference offers a holisticapproach to conceiving and then convertingnew ideas into effective proposals. It focuses onthe technical aspects of writing proposals ratherthan the fundraising aspects. To help readersunderstand proposal writing, chapters providefull coverage of the scientific method, includinginformation on how scientific research should beconducted. Furthermore, this book provides thetools necessary to organize ideas and obtain thefunds needed to effectively manage projects.






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Coming Soon!

A StatisticalGuide for the EthicallyPerplexedLawrence J. Hubert and Howard WainerWritten for researchers andgraduate students in statis-tics and the social and behavioral sciences, this ref-erence provides the formal scaffolding needed toreason ethically about what statisticians see in thecourse of their careers. It provides readers with asolid basis in statistical and ethical reasoning, help-ing them deal more effectively with whatever eth-ically-charged situations they might face. Thebook is filled with entertaining insights and quota-tions to aid with concept formation and applica-tion. Each chapter ends with a list of supplementalreadings from major newspapers.

Catalog no. K13412, August 2012, c. 592 pp.Soft Cover, ISBN: 978-1-4398-7368-7$49.95 / £31.99Also available as eBook

Coming Soon!

MaximumLikelihoodEstimation forSample SurveysR.L. Chambers, D.G. Steel, Suojin Wang,and A. WelshSeries: Chapman & Hall/CRCMonographs on Statistics & Applied Probability

In recent years, likelihood methods have provento be useful in methodological and practicaladvances in various disciplines, including thesocial sciences and engineering. MaximumLikelihood for Sample Surveys presents anoverview of likelihood methods for the analysisof sample survey data, providing all necessarybackground material on likelihood inference. Itprovides complete coverage on a range of datatypes, including multilevel and aggregate data.Illustrated by numerous worked examples andsoftware implementation, it also addressesadvanced topics such as combining data, non-response, and informative sampling.

Catalog no. C6323, May 2012, c. 360 pp.ISBN: 978-1-58488-632-7, $79.95 / £49.99Also available as eBook

StatisticalInferenceThe MinimumDistance ApproachAyanendranath Basu,Hiroyuki Shioya,and Chanseok ParkThis book gives a compre-hensive account of density-based minimum distancemethods and their use in statistical inference. Itcovers statistical distances, density-based mini-mum distance methods, discrete and continuousmodels, asymptotic distributions, robustness,computational issues, residual adjustment func-tions, graphical descriptions of robustness, penal-ized and combined distances, multisample meth-ods, weighted likelihood, and multinomial good-ness-of-fit tests. The book also introduces the min-imum distance methodology in interdisciplinaryareas, such as neural networks and image process-ing, as well as specialized models and problems,including regression, mixture models, survival andBayesian analysis, and more.

Catalog no. K10008, June 2011, 429 pp.ISBN: 978-1-4200-9965-2, $89.95 / £57.99Also available as eBook

Coming Soon!

StatisticalMethods forStochasticDifferentialEquationsEdited by

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

This book presents current research trends andrecent developments in statistical methods forstochastic differential equations. Written to beaccessible both to new students and seasonedresearchers, each chapter starts with introduc-tions to the topics and builds gradually towarddiscussing recent research. Chapters are self-contained and written by leading researchersfrom the field. The book includes applications tofinance and econometrics.

Catalog no. K12236, May 2012, c. 494 pp. ISBN: 978-1-4398-4940-8, $99.95 / £63.99Also available as eBook


Statistical Theory & Methods








Extreme ValueMethods withApplications toFinanceSerguei Y. NovakMiddlesex University, London, UK

Series: Chapman & Hall/CRCMonographs on Statistics &Applied Probability

Extreme value theory (EVT) provides tools forassessing risk of highly unusual developments,such as financial market crashes. This book pres-ents a synthesis of recent research, with empha-sis on dependent observations. It concentrateson modern topics, such as compound Poissonapproximation, processes of exceedances, andnonparametric estimation methods, which havenot been focused on in other books onextremes. Along with examples from financeand insurance that illustrate the methods, thebook includes over 200 exercises, making it use-ful as a reference book, self-study tool, or com-prehensive course text.

Catalog no. K11611, December 2011, 399 pp.ISBN: 978-1-4398-3574-6, $99.95 / £63.99Also available as eBook

A Practitioner’sGuide toResampling forData Analysis,Data Mining,and ModelingPhillip I. GoodConsultant, Huntington Beach,California, USA

Resampling methods—techniques for repeated-ly resampling data to obtain results—are beingused in virtually every research area. This practi-cal guide discusses the applications of thesemethods in a wide variety of subject areas. Eachchapter contains a wealth of examples alongwith R and Stata code for implementing thetechniques. Written by a leading authority in thefield, the text covers estimation, two-sample andk-sample univariate, and multivariate compar-isons of means and variances, sample size deter-mination, categorical data analysis, multiplehypotheses, and model building.

Catalog no. K12588, August 2011, 224 pp.ISBN: 978-1-4398-5550-8, $89.95 / £57.99

SmoothingSplinesMethods andApplicationsYuedong WangUniversity of California, SantaBarbara, USA


With many real-world examples, this bookshows how to apply the powerful methods ofsmoothing splines in practice. It covers basicsmoothing spline models as well as moreadvanced models, such as spline smoothingwith correlated random errors. It also presentsmethods for model selection and inference. Theauthor makes the advanced smoothing splinemethodology based on reproducing kernelHilbert space (RKHS) accessible to practitionersand students by keeping theory to a minimum.R is used throughout to implement the meth-ods, with code available for download on thebook’s web page.

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

GaussianProcessRegressionAnalysis forFunctional DataJian Qing ShiUniversity of Newcastle upon Tyne, UK

Taeryon ChoiKorea University, Seoul, South Korea

This work presents nonparametric statisticalmethods for functional regression analysis,specifically the methods based on a Gaussianprocess prior in a functional space. The authorsdiscuss functional data analysis, theoreticalaspects based on the asymptotic properties ofGaussian process regression models, and newmethodological developments for high dimen-sional data and variable selection. They alsoexplore novel nonparametric statistical methodsfor curve prediction, curve clustering, functionalANOVA, and functional regression analysis ofbatch data, repeated curves, and non-Gaussiandata. Some MATLAB® and C codes are availableon the first author’s website.

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





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FlexibleImputation ofMissing DataStef van BuurenTNO Quality of Life, Leiden, The Netherlands

Series: Chapman & Hall/CRCInterdisciplinary Statistics

Missing data form a problem in every scientificdiscipline, yet the techniques required to handlethem are complicated and often lacking. One ofthe great ideas in statistical science—multipleimputation—fills gaps in the data with plausiblevalues, the uncertainty of which is coded in thedata itself. It also solves other problems, many ofwhich are missing data problems in disguise. Flexible Imputation of Missing Data is support-ed by many examples using real data taken fromthe author's vast experience of collaborativeresearch, and presents a practical guide for han-dling missing data under the framework of mul-tiple imputation. Furthermore, detailed guid-ance of implementation in R using the author’spackage MICE is included throughout the book.Assuming familiarity with basic statistical con-cepts and multivariate methods, FlexibleImputation of Missing Data is intended for twoaudiences:

• (Bio)statisticians, epidemiologists, andmethodologists in the social and health sciences

• Substantive researchers who do not callthemselves statisticians, but who possess thenecessary skills to understand the principlesand to follow the recipes

This graduate-tested book avoids mathematicaland technical details as much as possible: for-mulas are accompanied by a verbal statementthat explains the formula in layperson terms.Readers less concerned with the theoreticalunderpinnings will be able to pick up the gener-al idea, and technical material is available forthose who desire deeper understanding. Theanalyses can be replicated in R using a dedicat-ed package developed by the author.

Catalog no. K13103, March 2012, 342 pp. ISBN: 978-1-4398-6824-9, $89.95 / £57.99Also available as eBook

Coming Soon!

AppliedCategorical and Count Data AnalysisWan Tang, Hua He, and Xin M. TuUniversity of Rochester, New York, USA

Series: Chapman & Hall/CRC Texts in Statistical Science

Developed from the authors’ graduate-level bio-statistics course, Applied Categorical and CountData Analysis explains how to perform the statis-tical analysis of discrete data, including categori-cal and count outcomes. The authors describethe basic ideas underlying each concept, model,and approach to give readers a good grasp of thefundamentals of the methodology without usingrigorous mathematical arguments.The text covers classic concepts and popular top-ics, such as contingency tables, logistic models,and Poisson regression models, along with mod-ern areas that include models for zero-modifiedcount outcomes, parametric and semiparametriclongitudinal data analysis, reliability analysis, andmethods for dealing with missing values. R, SAS,SPSS, and Stata programming codes are provid-ed for all the examples, enabling readers toimmediately experiment with the data in theexamples and even adapt or extend the codes tofit data from their own studies.Designed for a one-semester course for graduateand senior undergraduate students in biostatis-tics, this self-contained text is also suitable as aself-learning guide for biomedical and psychoso-cial researchers. It will help readers analyze datawith discrete variables in a wide range of bio-medical and psychosocial research fields.

Selected Contents:

Introduction. Contingency Tables. Sets ofContingency Tables. Regression Models forCategorical Response. Regression Models forCount Response. Loglinear Models forContingency Tables. Analyses of DiscreteSurvival Time. Longitudinal Data Analysis.Evaluation of Instruments. Analysis ofIncomplete Data. References. Index.

Catalog no. K10311, May 2012, c. 379 pp.ISBN: 978-1-4398-0624-1, $89.95 / £57.99Also available as eBook





PracticalMultivariateAnalysisFifth EditionAbdelmonem AfifiUniversity of California, Los Angeles, USA

Susanne MayUniversity of Washington,Seattle, USA

Virginia A. ClarkConsultant, Sequim, Washington, USA

Series: Chapman & Hall/CRC Texts in Statistical Science

Taking into account novel multivariate analysesas well as new options for many standard meth-ods, this renamed, new edition shows readershow to perform multivariate statistical analysesand understand the results. For each of the tech-niques presented, the authors use the mostrecent software versions available, including R,and discuss the most modern ways of perform-ing the analysis. Along with more problems anddata sets, this fifth edition includes a new chap-ter on regression of correlated outcomes. Datasets and code are available for download online.


Coming Soon!

GeneralizedLinear Modelsand ExtensionsThird EditionJames W. HardinUniversity of South Carolina,Columbia, USA

Joseph M. HilbeJet Propulsion Laboratory, California Institute ofTechnology, Pasadena, and Arizona State University,Tempe, USA

This book presents a thorough examination ofgeneralized linear model (GLM) estimation meth-ods as well as the derivation of all major GLM fam-ilies. Examined families include Gaussian, gamma,inverse Gaussian, binomial, Poisson, geometric,and negative binomial. The text also contains var-ious models that have been developed on thebasis of GLM theory, including GAM, orderedbinomial models, multinomial logit and probitmodels, GEE and other quasi-likelihood models,fixed and random effects models, and randomintercept and random parameter models.

Catalog no. N10590, June 2012, c. 461 pp.Soft Cover, ISBN: 978-1-59718-105-1$79.95 / £49.99

Introduction to StatisticalLimit TheoryAlan M. PolanskyNorthern Illinois University,Dekalb, USA


Helping readers develop a good understanding ofasymptotic theory, this text provides a thoroughyet accessible treatment of common modes ofconvergence and their related tools used in statis-tics. The author explains as much of the back-ground material as possible and incorporatesdetailed proofs and explanations of the results.The text includes many end-of-chapter exercisesand experiments that range in level of difficultyfrom easy to advanced. Numerous examples illus-trate the application of asymptotic theory tomodern statistical problems. A solutions manual isavailable upon qualifying course adoption.

Catalog no. C6604, January 2011, 645 pp.ISBN: 978-1-4200-7660-8, $89.95 / £57.99Also available as eBook

Applied TimeSeries AnalysisWayne A. Woodwardand Henry L. GraySouthern Methodist University,Dallas, Texas, USA

Alan C. ElliottUniversity of Texas SouthwesternMedical Center at Dallas, USA

Statistics: A Series of Textbooksand Monographs

Virtually any random process that developschronologically can be viewed as a time series.This textbook presents real-world examples fromthe fields of engineering, economics, medicine,biology, and chemistry to promote a solidunderstanding of the data and associated meth-ods. The text explores many important newmethodologies that have developed in timeseries, such as ARCH and GARCH processes, timevarying autocorrelations, time varying frequen-cies (TVF), autoregressive processes with time-dependent coefficients, wavelets, and more. Theauthors also provide a Windows-based timeseries software package.






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Coming Soon!

The BUGS BookA PracticalIntroduction toBayesian AnalysisDavid Spiegelhalter,Nicky Best, Andrew Thomas, David Lunn, and Chris JacksonSeries: Chapman & Hall/CRC Texts in Statistical Science

In recent years, Bayesian methods have becomethe most widely used statistical methods for dataanalysis and modeling. Authored by the teamthat originally developed this software, TheBUGS Book provides a practical introduction toBUGS software and its use. The text presentscomplete coverage of all the functionalities ofBUGS, including prediction, missing data, modelcriticism, and prior sensitivity. It also features alarge number of worked examples, a wide rangeof applications from various disciplines, andnumerous detailed exercises in every chapter.

Catalog no. C8490, August 2012, c. 320 pp.Soft Cover, ISBN: 978-1-58488-849-9$39.95 / £19.99Also available as eBook

Handbook ofMarkov ChainMonte CarloEdited by

Steve Brooks, Andrew Gelman, Galin L. Jones, and Xiao-Li MengSeries: Chapman & Hall/CRCHandbooks of Modern Statistical Methods

Handbook of Markov Chain Monte Carlo bringstogether the major advances that have occurredin recent years, while incorporating enoughintroductory material for new users of MCMC.Along with thorough coverage of the theoreticalfoundations and algorithmic and computationalmethodology, this comprehensive handbookincludes substantial realistic case studies from avariety of disciplines. These case studies demon-strate the application of MCMC methods andserve as a series of templates for the construc-tion, implementation, and choice of MCMCmethodology.

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

BayesianAnalysis Made SimpleAn Excel GUI for WinBUGSPhil WoodwardPfizer, LTD, Sandwich, Kent, UK

Chapman & Hall/CRCBiostatistics Series

From simple NLMs to complex GLMMs andbeyond, this book describes how to use the GUIfor WinBUGS—BugsXLA—an Excel add-in writtenby the author that allows a range of Bayesianmodels to be easily specified. With case studiesthroughout, the text shows how to routinelyapply even the more complex aspects of modelspecification, such as GLMMs, outlier robustmodels, random effects Emax models, auto-regressive errors, and Bayesian variable selection.It provides brief, up-to-date discussions of currentissues in the practical application of Bayesianmethods. The author also explains how to obtainfree software to get started immediately.

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

Principles ofUncertaintyJoseph B. KadaneCarnegie Mellon University,Pittsburgh, Pennsylvania, USA


Addressing what are sometimes thought of astwo different subjects, this book presents statis-tics as simply an application of probability. It pro-vides a comprehensive introduction to uncertain-ty principles and the theory of Bayesian statistics.Each chapter begins by introducing one newconcept or assumption and then explores theconsequences of that new assumption whenadded to those already made. Chapters end witha summary and exercises. Employing "just-in-time mathematics," the author introduces math-ematical ideas just before they are applied toadvance the main argument.

Catalog no. K12848, May 2011, 503 pp.ISBN: 978-1-4398-6161-5, $89.95 / £57.99







Time SeriesModeling ofNeuroscienceDataTohru OzakiInstitute of StatisticalMathematics, Tokyo, Japan

Series: Chapman & Hall/CRCInterdisciplinary Statistics

Due to recent advances in methodology thatoffer significant improvements over convention-al methods, there is increasing interest in the useof time series models for the study of neuro-science data such as EEG, MEG, fMRI, and NIRS.Written by one of the pioneers of these meth-ods, this book presents an overview of timeseries models for the study of neuroscience data.It is accessible to applied statisticians workingwith neuroscience data as well as quantitativelytrained neuroscientists.

Catalog no. C4602, January 2012, 574 pp.ISBN: 978-1-4200-9460-2, $99.95 / £63.99Also available as eBook

Coming Soon!

Methodology in Robust andNonparametricStatisticsJana Jureckova, Pranab Kumar Sen, and Jan Picek

Closely related to nonparametric methods,robust statistical methods are not unduly affect-ed by data outliers or other small departuresfrom model assumptions. This book presents acomprehensive overview of methodology forrobust and nonparametric statistics. It coversboth methods in parallel in order to demon-strate their relative strengths and weaknesses.Using examples to illustrate the methods, thetext highlights applications in the fields of bio-medical science, bioinformatics, finance, andengineering. The authors provide exercises inthe text as well as R programs for all exampleson the book’s website.

Catalog no. K11885, August 2012, c. 480 pp.ISBN: 978-1-4398-4068-9, $99.95 / £63.99Also available as eBook

NonparametricStatistical TestsA ComputationalApproachMarkus NeuhäuserKoblenz University of AppliedSciences, Remagen, Germany

This book provides a modern and accessibleoverview of computationally-intensive nonpara-metric statistical methods. Presenting up-to-dateand detailed information, the text focuses on theuse of permutation and bootstrap methods toassess the significance of a statistic in a hypoth-esis test. It includes numerous real examples toillustrate the methods, and SAS programs areused throughout to apply them. In addition, asignificant portion of the book is devoted to(recent) nonparametric tests for the comparisonof independent groups with potentially unequalvariances.


Biostatistics: A ComputingApproachStewart J. AndersonUniversity of Pittsburgh,Pennsylvania, USA


Biostatistics introduces modern and classical bio-statistical methods and compares their respec-tive usefulness. It covers simple linear regression,multivariate regression, repeated measure, non-parametric analysis, survival analysis, samplesize, and power calculations. The text offersnumerous practical applications and detailedworked examples using R and SAS, as well asexercises with solutions.

Selected Contents:

Preface. Review of Topics in Probability andStatistics. Use of Simulation Techniques. TheCentral Limit Theorem. Correlation andRegression. Analysis of Variance. DiscreteMeasures of Risk. Multivariate Analysis.

Catalog no. C8342, December 2011, 326 pp.ISBN: 978-1-58488-834-5, $79.95 / £39.99Also available as eBook

Biostatistics






Biostatistics

StatisticalThinking inEpidemiologyYu-Kang Tu and Mark S. GilthorpeUniversity of Leeds, UK

Addressing issues that have plagued researchersthroughout the last decade, this book providesnew insights into the many existing problems instatistical modeling and offers several alternativestrategies to approach these problems.Emphasizing the importance of statistical think-ing behind all analyses, the authors use specificexamples in epidemiology to illustrate differentmodel specifications that can imply different setsof causal relationships between variables. Eachmodel is interpreted with regard to the contextof implicit or explicit causal relationships.


Coming Soon!

Applied MedicalStatistics Using SASGeoff DerUniversity of Glasgow, Scotland, UK

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

Adding topics useful to medical statisticians, thisnew edition of a popular intermediate-level refer-ence explores the use of SAS for analyzing med-ical data. A new chapter on visualizing dataincludes a detailed account of graphics for inves-tigating data and smoothing techniques. Thebook also includes new chapters on measurementin medicine, epidemiology/observational studies,meta-analysis, Bayesian methods, and handlingmissing data. The book maintains its example-based approach, with SAS code and outputincluded throughout and available online.

Catalog no. K13087, July 2012, c. 424 pp.ISBN: 978-1-4398-6797-6, $89.95 / £57.99Also available as eBook

Coming Soon!

MedicalBiostatisticsThird EditionAbhaya IndrayanChapman & Hall/CRCBiostatistics Series

The third edition of this acclaimed text focuseson the statistical aspects of medicine with amedical perspective, showing how biostatisticsis a useful tool to manage medical uncertainties.This edition provides expanded coverage of top-ics and includes software illustrations. Theauthor presents step-by-step explanations of sta-tistical methods with the help of numerous real-world examples. Graphs and guide charts at thebeginning of the book enable quick access tothe relevant statistical procedure, and the com-prehensive index makes it easier to locate termsof interest.


Coming Soon!

ConfidenceIntervals forProportions and RelatedMeasures ofEffect SizeRobert G. NewcombeCardiff University, Wales

Chapman & Hall/CRC Biostatistics Series

Addressed primarily at researchers who have notbeen trained as statisticians, this book describeshow to use appropriate methods to calculateconfidence intervals to present research find-ings. It covers background issues, such as thelink between hypothesis tests and confidenceintervals and why it is usually preferable toreport the latter. Chapters begin with the sim-plest cases of a mean or a proportion based ona single sample and then move on to more com-plex applications. Although the book’s illustra-tive examples are mainly health-related, themethods described can also be applied toresearch in a wide range of disciplines.

Catalog no. K10649, August 2012, c. 464 pp.ISBN: 978-1-4398-1278-5, $89.95 / £57.99Also available as an eBook






Biostatistics

ControversialStatistical Issuesin Clinical TrialsShein-Chung ChowDuke University School ofMedicine, Durham, North Carolina, USA


Written by one of the pre-eminent experts in the field, this book covers com-monly encountered controversial statistical issuesin clinical trials and, whenever possible, makes rec-ommendations to resolve these problems. It focus-es on issues occurring at various stages of clinicalresearch and development, including early-phaseclinical development, bench-to-bedside transla-tional research, and late-phase clinical develop-ment. Numerous examples illustrate the impact ofthese issues on the evaluation of the safety andefficacy of the test treatment under investigation.The author also offers recommendations regard-ing possible resolutions of the problems.


AdaptiveDesign Methodsin Clinical TrialsSecond EditionShein-Chung ChowDuke University School ofMedicine, Durham, North Carolina, USA

Mark ChangAMAG Pharmaceuticals, Inc,Lexington, Massachusetts, USA


This second edition reflects recent developmentsand regulatory positions on the use of adaptivedesigns in clinical trials. It unifies the vast and con-tinuously growing literature and research activi-ties on regulatory requirements, scientific andpractical issues, and statistical methodology. Thisedition significantly updates the chapters on pro-tocol amendment and clinical trial simulation toincorporate the latest changes. It also includesfive entirely new chapters on two-stage adaptivedesign, biomarker adaptive trials, target clinicaltrials, sample size and power estimation, and regulatory perspectives.


RandomizedClinical Trials of Nonpharma-cologicalTreatmentsEdited by

Isabelle Boutron and Philippe RavaudINSERM U738, Paris, France

David MoherUniversity of Ottawa, Ontario, Canada


Nonpharmacological treatments include a widevariety of treatments such as surgery, technicalprocedures, implantable devices, non-implantabledevices, rehabilitation, psychotherapy, and behav-ioral interventions. This book focuses on the meth-ods of assessing nonpharmacological treatments,highlighting specific issues, and discussing trialdesign. Providing practical examples underliningthe issues and solutions, this book is arguably thefirst to exclusively explore this topic, discussingvarious categories of treatments, from surgicalprocedures to psychotherapy.


Adaptive and FlexibleClinical TrialsRichard ChinInstitute for One World Health,San Francisco, California, USA

By enabling studies to be modified during thecourse of the trial, modern adaptive clinical trialdesigns can make studies substantially faster,more efficient, and more powerful than tradi-tional clinical trials. The recent advances in web-based real-time data entry and novel statisticalmethods have made adaptive clinical trials prac-tical and attractive. Suitable for readers involvedin drug development, this is the first book thatcomprehensively explains all essential aspects ofadaptive clinical trials. Without using highlytechnical statistical jargon, it discusses thedesign, conduct, and execution of these trials.

Catalog no. K11738, August 2011, 198 pp.ISBN: 978-1-4398-3832-7, $89.95 / £57.99Also available as eBook





13

Biostatistics


Coming Soon –New Edition of a Bestseller!

Clinical Trials in OncologyThird EditionStephanie Green,Jacqueline Benedetti,Angela Smith, and John CrowleySeries: Chapman & Hall/CRC Interdisciplinary Statistics

Praise for Previous Editions

"Succinct and focused… [This book] is clear,cogent, and practical. It is structured so that stat-isticians can use specific sections as starting pointto develop shared understandings with investiga-tors, study coordinators, and data managers…Ithas been useful to me and my clients, and I lookforward to the second edition."

—Marlene Egger, PhD, University of Utah, USA

The third edition of the bestselling Clinical Trialsin Oncology provides a concise, nontechnical,and thoroughly up-to-date review of methodsand issues related to cancer clinical trials. Theauthors emphasize the importance of properstudy design, analysis, and data managementand identify the pitfalls inherent in theseprocesses. In addition, the book has beenrestructured to have separate chapters on gen-eral clinical trials issues, Phase I, Phase II, andPhase III, with expanded discussions in each.New sections cover innovations in Phase Idesigns, randomized Phase II designs, and over-coming the challenges of array data.

Although this book focuses on cancer trials, theissues and concepts are important in any clinicalsetting. As always, the authors use clear, lucidprose and a multitude of real-world trials asexamples to convey the principles of successfultrials without the need for a strong statistics ormathematics background. Clinical Trials inOncology, Third Edition works to improve themutual understanding of clinicians and statisti-cians on the principles of clinical trials and helpsthem avoid the many hazards that can jeopard-ize the success of a trial.


Handbook ofStatistics inClinicalOncologyThird EditionEdited by

John CrowleyCancer Research andBiostatistics, Seattle,Washington, USA

Antje HoeringCancer Research and Biostatistics, University ofWashington and Fred Hutchinson Cancer ResearchCenter, Seattle, Washington

Praise for the Previous Edition

“… a comprehensive edited volume covering sta-tistical and bioinformatics methods that providethe foundation for important research and clinicaltrials in cancer. … Like the last edition, this cur-rent edition will be an important addition to thelibraries of all health research centers. The bookwill be prized as a reference book for biostatisti-cians, biomedical researchers, and oncologists forplanning, conducting, analyzing, and interpret-ing cancer research.”

—Journal of the American Statistical Association

“A significant strength of this book is its example-driven approach to the ‘out-of-the-box’ but prac-tical issues faced by those conducting cancer clini-cal trials. The book provides a critical assessmentof the state of science through a thorough reviewof the methods, applications, and availableresources. … a detailed and mostly comprehen-sive text on the topics of cancer clinical trialdesign, conduct, analysis, and interpretation.”

—Daniel Sargent, Sumithra Mandrekar, and AnnOberg, Mayo Clinic, Biometrics

Addressing the many challenges that have arisensince the publication of its predecessor, this thirdedition covers the newest developmentsinvolved in the design and analysis of cancerclinical trials. Accessible to statisticians in clinicaltrials as well as oncologists interested in clinicaltrial methodology, the book presents up-to-datestatistical approaches to the design and analysisof oncology clinical trials. New topics in this edi-tion include trial designs for targeted agents,Bayesian trial design, and the inclusion of high-dimensional data and imaging techniques. Thisedition also contains numerous figures andexamples to better explain concepts.

Catalog no. K12872, April 2012, 657 pp. ISBN: 978-1-4398-6200-1, $119.95 / £76.99Also available as eBook




Biostatistics

Dose Finding bythe ContinualReassessmentMethodYing Kuen CheungDepartment of Biostatistics,Columbia University, USA


This book presents the continual reassessmentmethod (CRM) as a tool for dose-finding studies.With a focus on the implementation and prac-tice of the CRM and its variations, it explainshow the CRM may be calibrated and extendedto suit common clinical settings. The bookincludes examples of real clinical trials data toillustrate the calibration techniques and showshow 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 / £49.99Also available as eBook

Coming Soon!

Interval-Censored Time-to-Event DataMethods andApplicationsEdited by

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

This book compiles and presents new develop-ments in the analysis of interval-censored time-to-event data with applications to clinical trialsand biomedical research. Data and computerprograms are available in order for readers toreplicate model development and data analysispresented in each chapter so that these newmethods can be readily applied by interestedreaders in their research. The book brings togeth-er experts engaged in clinical research from aca-demia, biopharmaceutical industries, and gov-ernment to present and discuss recent issues ininterval-censored time-to-event applications.


Coming Soon!

Design andAnalysis ofBridgingStudiesEdited by

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

This book provides a comprehensive and unifiedsummary of the growing literature and researchactivities on regulatory requirements, scientificand practical issues, and statistical methodologypertaining to the design and evaluation of bridg-ing studies, which provide pharmacodynamic orclinical data that allow extrapolation of the for-eign clinical data to a new region. Along with athorough overview of bridging studies, the textaddresses issues arising from bridging studies,including ethnic sensitivity, necessity of bridgingstudies, types of bridging studies, and theassessment of similarity between regions basedon bridging evidence.


Design andAnalysis of Non-Inferiority TrialsMark D. Rothmann,Brian L. Wiens,and Ivan S.F. ChanChapman & Hall/CRCBiostatistics Series

The increased use of non-inferiority analysis hasbeen accompanied by a proliferation of researchon the design and analysis of non-inferiority stud-ies. Design and Analysis of Non-Inferiority Trialsbrings together this body of research and confrontsthe issues involved in the design of a non-inferiori-ty trial. Using examples from real clinical trials, thebook discusses general and regulatory issues andillustrates how they affect analysis. Each chapterbegins with a non-technical introduction, so thesubject is easily understood by those without priorknowledge of non-inferiority clinical trials.

Catalog no. C8040, July 2011, 454 pp.ISBN: 978-1-58488-804-8, $89.95 / £57.99Also available as eBook





15

Biostatistics


FlexibleParametricSurvival AnalysisUsing StataBeyond the Cox ModelPatrick RoystonUniversity College London andMRC Clinical Trials Unit, UK

Paul C. LambertUniversity of Leicester, UK

Through real-world case studies, this bookshows how to use Stata to estimate a class offlexible parametric survival models. It discussesthe modeling of time-dependent and continu-ous covariates and looks at how relative survivalcan be used to measure mortality associatedwith a particular disease when the cause ofdeath has not been recorded. The bookdescribes simple quantification of differencesbetween any two covariate patterns through cal-culation of time-dependent hazard ratios, haz-ard differences, and survival differences.

Catalog no. N10372, August 2011, 339 pp.Soft Cover, ISBN: 978-1-59718-079-5$79.95 / £49.99

DynamicPrediction inClinical SurvivalAnalysisHans C. van Houwelingenand Hein PutterLeiden University, The Netherlands


In the last twenty years, dynamic predictionmodels have been extensively used to monitorpatient prognosis in survival analysis. Written byone of the pioneers in the area, this book syn-thesizes these developments in a unified frame-work. It covers a range of models, includingprognostic and dynamic prediction of survivalusing genomic data and time-dependent infor-mation. The text includes numerous examplesusing real data taken from the authors’ collabo-rative research. R programs are provided forimplementing the methods.

Catalog no. K11593, November 2011, 250 pp.ISBN: 978-1-4398-3533-3, $89.95 / £57.99Also available as eBook

MultivariateSurvivalAnalysis andCompetingRisksMartin CrowderImperial College, University of London, UK


Suitable for graduate students and researchers instatistics and biostatistics as well as those in themedical field, epidemiology, and the social sci-ences, this book introduces univariate survivalanalysis and extends it to the multivariate case. Italso covers competing risks and counting process-es and provides many real-world examples, exer-cises, and R code. The text discusses survival data,survival distributions, frailty models, parametricmethods, multivariate data and distributions, cop-ulas, continuous failure, parametric likelihood infer-ence, and non- and semi-parametric methods.


Coming Soon!

Joint Models forLongitudinaland Time-to-Event DataWith Applications in RDimitris RizopoulosErasmus University MedicalCenter, Rotterdam, Netherlands


This book provides a full treatment of joint mod-els (JM) for longitudinal and time-to-event data.The content is explanatory rather than mathematically rigorous and applications areemphasized. All illustrations put forward areavailable in the R programming language via thefreely available package JM written by the author.

Selected Contents:

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

Catalog no. K13371, July 2012, c. 280 pp.Soft Cover, ISBN: 978-1-4398-7286-4$79.95 / £49.99Also available as eBook





Biostatistics


AdvancedBayesianMethods forMedical TestAccuracyLyle D. BroemelingBroemeling and Associates,Medical Lake, Washington, USA


After a review of the usual measures, includingspecificity, sensitivity, positive predictive value,negative predictive value, and the area underthe ROC curve, this book expands its scope tocover the more advanced topics of verificationbias, diagnostic tests with imperfect gold stan-dards, and medical tests where no gold standardis available. The author offers a practical treat-ment by including R and WinBUGS code in theexamples and by employing the Bayesianapproach throughout the text. He also providespractical problems at the end of each chapter.


StatisticalEvaluation ofDiagnosticPerformanceTopics in ROC AnalysisKelly H. Zou, Aiyi Liu,Andriy I. Bandos, Lucila Ohno-Machado,and Howard E. RocketteChapman & Hall/CRC Biostatistics Series

This book presents innovative approaches inReceiver Operating Characteristic (ROC) analy-sis, which are relevant to a wide variety of appli-cations, including medical imaging, cancerresearch, epidemiology, and bioinformatics. Thecovered topics include monotone-transforma-tion techniques in parametric ROC analysis, ROCmethods for combined and pooled biomarkers,Bayesian hierarchical transformation models,sequential designs and inferences in the ROCsetting, predictive modeling, multireader ROCanalysis, and free-response ROC (FROC)methodology.


StochasticModelling forSystems BiologySecond EditionDarren J. WilkinsonSchool of Mathematics andStatistics, Newcastle University, UK

Series: Chapman & Hall/CRCMathematical & ComputationalBiology

This book provides an accessible introduction tothe use of stochastic processes for modeling bio-logical systems, such as genetic and biochemicalnetworks. Focusing on simulation, the textincludes many examples, R and SBML code, anda number of computer-based exercises. Fullyupdated, this second edition includes improve-ments to the chapters on Markov processes,kinetics and approximate algorithms. It alsogreatly expands the coverage of statistical infer-ence, using likelihood-free techniques. Updatedcomputing aspects include a new R package andthe use of the new SBML Level 3.


Statistics of MedicalImagingTianhu LeiSeries: Chapman & Hall/CRCInterdisciplinary Statistics

Statistical investigation into technology not onlyprovides a better understanding of the intrinsicfeatures of the technology (analysis), but alsoleads to an improved design of the technology(synthesis). Physical principles and mathematicalprocedures of medical imaging technologieshave been extensively studied during pastdecades. However, less work has been done ontheir statistical aspect. Filling this gap, this bookprovides a theoretical framework for statisticalinvestigation into medical technologies.






17

Computational Statistics


R for StatisticsPierre-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 statis-tical analysis. The first half of the book intro-duces R, data manipulation and visualization,statistical models, graphics, and R program-ming. The second half presents various statisticalanalysis techniques by first introducing the dataexample, then describing the problem to solve,and finally conducting the analysis using R. Thisexample-based approach enables readers toreplicate the analyses using their own data.Some of the techniques covered include simpleregression, multiple regression, ANOVA, logisticregression, principal component analysis, andclustering.

Catalog no. K13834, March 2012, 320 pp.Soft Cover, ISBN: 978-1-4398-8145-3$59.95 / £34.99Also available as eBook

R GraphicsSecond EditionPaul MurrellThe 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 highquality statistical graphics. Completely updatedand revised, this second edition highlights newgraphics-related packages that have been devel-oped, such as the ggplot2 package. A number ofnew chapters cover these packages in detail.Other chapters new to this edition feature dis-cussions of interactive graphics, 3D graphics,and importing graphics. The book also includesnew examples as well as enhanced exercises forteaching or self-study.


The R PrimerClaus Thorn EkstrømUniversity of Copenhagen,Frederiksberg, Denmark

This primer provides a collection of conciseexamples and solutions to R problems frequent-ly encountered by new users of this statisticalsoftware. Numerous examples illustrate a specif-ic situation, topic, or problem, including dataimporting, data management, classical statisticalanalyses, and high-quality graphics production.Each example is self-contained and includes Rcode that can be run exactly as shown, enablingresults from the book to be replicated.Additional topics and R code are available fromthe book’s supporting website.

Catalog no. K12876, August 2011, 299 pp.Soft Cover, ISBN: 978-1-4398-6206-3$39.95 / £25.99Also available as eBook

OptimalExperimentalDesign with RDieter Rasch, Jürgen Pilz, Rob Verdooren, and Albrecht Gebhardt

Optimal Experimental Design with R introducesexperimenters to the philosophy of experimen-tation, and the need for good design and datacollection for experiments. It gives experi-menters and statisticians guidance on how toconstruct optimum experimental designs andcalculate the sample size needed using R pro-grams. The book contains many detailed real-world examples that show how the R programsshould be used. The authors discuss variations ofthe regression model, including linear and non-linear regression models. They also provide afinal chapter of theoretical details for interestedmathematical statisticians.

Catalog no. K10876, May 2011, 345 pp.ISBN: 978-1-4398-1697-4, $99.95 / £63.99Also available as eBook







New Edition of a Bestseller!

Statistics andData Analysisfor MicroarraysUsing R andBioconductorSecond Edition Sorin DraghiciWayne 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 bioin-formatics course. This well-written book with twoaccompanying CD-ROMs will create much-neededenthusiasm among statisticians.”

—Journal of Statistical Computation and Simulation

“I really like Draghici's book. As the authorexplains in the Preface, the book is intended toserve both the statistician who knows very littleabout DNA microarrays and the biologist whohas no expertise in data analysis. The author laysout a study plan for the statistician that excludes5 of the 17 chapters (4-8). These chapters presentthe basics of statistical distributions, estimation,hypothesis testing, ANOVA, and experimentaldesign. What that leaves for the statistician is thethree-chapter primer on microarrays and imageprocessing, plus all of the data analysis tools spe-cific to the microarray situation. … it includes twoCDs with trial versions of several specialised soft-ware packages. Anyone who uses microarraydata should certainly own a copy.”

—Technometrics

Richly illustrated in color, this bestselling text pro-vides a clear and rigorous description of powerfulanalysis techniques and algorithms for miningand interpreting biological information. Omittingtedious details, heavy formalisms, and crypticnotations, the text takes a hands-on, example-based approach that explains the basics of R andmicroarray technology as well as how to chooseand apply the proper data analysis tool to specif-ic problems. Now using R and Bioconductor, thisedition has been expanded with fourteen newchapters and 600 more pages.


An RCompanion to LinearStatisticalModelsChristopher Hay-JahansUniversity of Alaska-Southeast,Juneau, USA

This work was prepared to serve as an R supple-ment for textbooks on Linear Statistical Models.It provides computational and coding details onthe use of R that textbooks do not. Topics cov-ered include simple and multiple linear regres-sion models, models for one- and two-factorfixed-effects designs, covariance models, andmodels for randomized complete block designs.The text can serve as both a course supplementand a fairly detailed self-help resource. Thedevelopment of "grass-roots" code alongsidedemonstrations of pre-packaged routines pro-vides users with illustrations on how to developtheir own programs with R.


MultivariateGeneralizedLinear MixedModels Using RDamon M. Berridge and Robert CrouchleyLancaster University, UK

In medical and social science research,MGLMMs help disentangle state dependencefrom incidental parameters. Focusing on thesesophisticated data analysis techniques, this workpresents robust and methodologically soundmodels for analyzing large and complex datasets—enabling readers to answer increasinglycomplex research questions. It applies the prin-ciples of modeling to longitudinal data frompanel and related studies via the Sabre softwarepackage in R. Many examples throughout thetext illustrate the analysis of real-world data sets.Supporting materials are available on a Sabre-dedicated website.

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




19



Multilevel andLongitudinalModeling Using StataVolumes I and II,Third EditionSophia Rabe-Heskethand Anders SkrondalThis book examines Stata'streatment of generalizedlinear mixed models, also known as multilevel orhierarchical models. These models are "mixed"because they allow fixed and random effects, andthey are "generalized" because they are appropri-ate for continuous Gaussian responses as well asbinary, count, and other types of limited depend-ent variables.

Catalog no. N10560, April 2012, Soft CoverISBN: 978-1-59718-108-2, $149.95 / £95.00

Volumes are also available individually

Volume I: Continuous Responses, Third EditionVolume I is devoted to continuous Gaussian linearmixed models and has nine chapters, organized infour parts. The first part provides a review of themethods of linear regression. The second part pro-vides in-depth coverage of the two-level models,the simplest extensions of a linear regressionmodel. This volume also covers the mixed-modelfoundation and the mixed-model principles forcontinuous outcomes, making it straightforwardfor readers to transition to the generalized linearmixed models for noncontinuous outcomesdescribed in volume II.

Catalog no. N10561, April 2012, c. 514 pp.Soft Cover, ISBN: 978-1-59718-103-7$89.95 / £57.99

Volume II: Categorical Responses, Counts,and Survival, Third EditionVolume II is devoted to generalized linear mixedmodels for binary, categorical, count, and survivaloutcomes and is organized in four parts. The firstthree parts cover models for categorical responses,including binary, ordinal, and nominal (a newchapter); models for count data; and models forsurvival data, including discrete-time and continu-ous-time (a new chapter) survival responses. Thefinal part describes models with nested andcrossed-random effects, with an emphasis on bina-ry outcomes.

Catalog no. N10563, March 2012, 484 pp. Soft Cover, ISBN: 978-1-59718-104-4$89.95 / £57.99

A GentleIntroduction to StataRevised Third EditionAlan C. AcockOregon State University,Corvallis, USA

Updated to reflect the new features of Stata 11,this revised third edition continues to help newStata users become proficient in the software.After reading this introductory text, you will beable to enter, build, and manage a data set aswell as perform fundamental statistical analyses.This edition includes a new chapter on theanalysis of missing data and the use of multiple-imputation methods. It also provides an exten-sive revision of the chapter on ANOVA, alongwith additional material on the application ofpower analysis. Each chapter includes exercisesand 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 Guideto StataGraphicsThird EditionMichael N. MitchellUCLA Academic TechnologyServices Consulting Group, Los Angeles, California, USA

With over 900 illustrated examples and quick-reference tabs, this book quickly guides you tothe information you need for creating and cus-tomizing high-quality graphs for any type of sta-tistical data. Each graph is displayed in full colorwith simple and clear instructions that illustratehow to create and customize graphs using eitherStata commands or the Stata Graph Editor.Stata’s powerful graphics system gives you com-plete control over how the elements of yourgraph look.

Catalog no. N10565, January 2012, 499 pp.Soft Cover, ISBN: 978-1-59718-106-8$89.95 / £57.99








Coming Soon!

Programmingin C++ forEngineeringand ScienceLarry NyhoffCalvin College, Grand Rapids,Michigan, USA

This text guides students in designing programsto solve real problems encountered in engineer-ing and scientific applications. It gives students asolid understanding of how C++ can be used toprocess complex objects, including how classescan be built to model objects. Exercises and pro-gramming projects are included in each chapterand various ancillaries are accessible on thebook’s website. A solutions manual andPowerPoint® slides are also available with quali-fying course adoption.

Catalog no. K11207, May 2012, c. 728 pp.Soft Cover, ISBN: 978-1-4398-2534-1$89.95 / £57.99Also available as eBook

Coming Soon!

Interpretingand VisualizingRegressionModels UsingStataMichael N. MitchellUCLA Academic TechnologyServices Consulting Group, Los Angeles, California, USA

Michael Mitchell’s Interpreting and VisualizingRegression Models Using Stata is a clear treat-ment of how to carefully present results frommodel-fitting in a wide variety of settings. It is aboon to anyone who has to present the tangiblemeaning of a complex model in a clear fashion,regardless of the audience. As an example, manyexperienced researchers start to squirm whenasked to give a simple explanation of the appliedmeaning of interactions in nonlinear modelssuch as logistic regression.

Catalog no. N10624, May 2012, 558 pp.ISBN: 978-1-59718-107-5, $79.95 / £49.99

PracticalStatisticalMethodsA SAS ProgrammingApproachLakshmi V. PadgettCentocor, Malvern,Pennsylvania, USA

This book presents a broad spectrum of statisti-cal methods useful for researchers without anextensive statistical background. Omittingmathematical details and complicated formulae,it provides SAS programs to carry out the neces-sary analyses and draw appropriate inferencesfor common statistical problems. The authordescribes methods used for quantitative dataand continuous data following normal and non-normal distributions. She also focuses on simplelinear regression, logistic regression, and theproportional hazards model. The final chapterbriefly discusses such miscellaneous topics aspropensity scores, misclassification errors, inter-im analysis, conditional power, bootstrap, andjackknife.

Catalog no. K10634, April 2011, 304 pp.ISBN: 978-1-4398-1282-2, $79.95 / £49.99Also available as eBook

Data Clusteringin C++An Object-OrientedApproachGuojun GanManulife Financial, Toronto, Canada

Series: Chapman & Hall/CRCData Mining and KnowledgeDiscovery Series

Using object-oriented design and programmingtechniques in C++, this book explores the com-monalities of all data clustering algorithms tocreate a flexible set of reusable classes that sim-plifies the implementation of any data clusteringalgorithm. The first part of the text reviews basicconcepts of data clustering, the UML, object-ori-ented programming in C++, and design pat-terns. The second section develops the dataclustering base classes. The third part imple-ments several popular data clustering algo-rithms. Additional topics such as data pre-pro-cessing, data and cluster visualization, and clus-ter interpretation are briefly covered.

Catalog no. K12884, March 2011, 520 pp.ISBN: 978-1-4398-6223-0, $89.95 / £57.99Also available as eBook

Statistical Learning & Data Mining





21



A First Coursein MachineLearningSimon RogersUniversity of Glasgow, Scotland

Mark GirolamiUniversity College London,United Kingdom

Requiring minimal mathematical prerequisites,this classroom-tested text covers the core math-ematical and statistical techniques needed tounderstand some of the most popular machinelearning algorithms, including classification,clustering, and projection algorithms. The MAT-LAB®/Octave scripts available online enable read-ers to recreate plots that appear in the book andinvestigate changing model specifications andparameter values. By experimenting with thevarious algorithms and concepts, readers seehow an abstract set of equations can be used tosolve real problems. A solutions manual is avail-able upon qualifying course adoption.


Cost-SensitiveMachineLearningEdited by

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

This volume is one of the first books to providean overview of the current research efforts andproblems in this area. It discusses real-worldapplications that incorporate the cost of learninginto the modeling process. The first part of thebook describes well-established machine learn-ing approaches for reducing data acquisitioncosts during training as well as approaches forreducing costs when systems must make predic-tions for new samples. The second part coversreal-world applications, such as computer-aidedmedical diagnosis, that effectively trade off dif-ferent types of costs.


Statistical and Machine-Learning Data MiningTechniques for BetterPredictive Modelingand Analysis of BigData, Second EditionBruce RatnerDM STAT-1 Consulting, New York, New York, USA

Focusing on uniquely large-scale statistical mod-els that effectively consider big data identifyingstructures (variables) with the appropriate pre-dictive power in order to yield reliable, robust,relevant large scale analyses, this revised editionincorporates 13 new chapters, as well as expand-ed explanations of the author's own popularmachine-learning GenIQ Model. The book high-lights the needs of data analysts, regression mod-elers, non-regression modelers, and data minersacross all industry sectors, delivering practical yetpowerful, simple yet insightful quantitative tech-niques that reliably accommodate big data, aswell as the small data implied within.


StatisticalLearning andData ScienceEdited by

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

Various methodologies, including unsuperviseddata analysis, supervised machine learning, andsemi-supervised techniques, have continued todevelop to cope with the increasing amount ofdata collected through modern technology.With a focus on applications, this volume pres-ents contributions from some of the leadingresearchers in the different fields of data analysis.Synthesizing the methodologies into a coherentframework, the book covers a range of topics,from large-scale machine learning to synthesisobjects analysis.








Customer and BusinessAnalyticsApplied Data Miningfor Business DecisionMaking Using RDaniel S. PutlerUniversity of British Columbia,Canada

Robert E. KriderSimon Fraser University, Burnaby, Canada


A practical hands-on guide, this book covers data-base marketing, surveys, and other data sourcesfor businesses. Each chapter introduces a methodor model and ends with a detailed tutorial thatguides students through an analysis of a real case.The book takes a data mining approach, yet read-ers are encouraged to consider the substantivebusiness problem rather than taking a purelyexploratory approach to customer analytics. Thetext is suitable for advanced undergraduate orgraduate courses in customer analytics, data min-ing for marketing, database marketing, marketinganalytics, or business intelligence.

Catalog no. K14501, May 2012, c. 299 pp.Soft Cover, ISBN: 978-1-4665-0396-0$69.95 / £44.99Also available as eBook

Coming Soon!

Practical GraphMining with REdited by

Nagiza F. SamatovaOak Ridge National Laboratory,Raleigh, North Carolina, USA

Chapman & Hall/CRC DataMining and KnowledgeDiscovery Series

Integrating two important aspects of computerscience (graph-based modeling and data miningtechniques), this book provides a practical, do-it-yourself approach for extracting interestingpatterns from graph data. The self-containedtext requires no prerequisite knowledge of datamining and includes many worked examples,exercises with solutions, and real-world applica-tions and data sets. Each algorithm is presentedwith accompanying R code. A supporting web-site features additional resources, includingPowerPoint® slides, R code, and data sets.

Catalog no. K12799, September 2012, c. 480 pp.ISBN: 978-1-4398-6084-7, $79.95 / £49.99

Foundations of PredictiveAnalyticsJames Wu and Stephen CoggeshallID Analytics, San Diego,California, USA

Chapman & Hall/CRC DataMining and KnowledgeDiscovery Series

Drawing on the authors’ two decades of experi-ence in applied modeling and data mining, thisself-contained book presents the fundamentalbackground required for analyzing data andbuilding models for many practical applications,such as consumer behavior modeling, risk andmarketing analytics, and other areas. It explainsthe algorithmic details behind each technique,including underlying assumptions and mathe-matical formulations, and discusses a variety ofpractical topics that are frequently missing fromsimilar texts. Software and examples are avail-able online.

Catalog no. K13186, February 2012, 337 pp.ISBN: 978-1-4398-6946-8, $89.95 / £57.99Also available as eBook

QuantitativeOperationalRisk ModelsCatalina Bolancé,Montserrat Guillén,Jim Gustafsson, andJens Perch NielsenPresenting a nonparametricapproach to modelingoperational risk data, thisbook offers a practical perspective that combinesstatistical analysis and management orientations.It covers the statistical theory prerequisites andsummarizes important contributions made in thepast decade. The authors explain how to imple-ment the new density estimation methods foranalyzing the loss distribution in operational riskfor banks and insurance companies. They alsoinclude SAS and R routines to implement all ofthe procedures discussed in the text.

Catalog no. K14258, February 2012, 236 pp.ISBN: 978-1-4398-9592-4, $79.95 / £44.99Also available as eBook

Statistics for Business,Finance & Economics





23

Statistics for Business, Finance & Economics


PracticalSpreadsheet RiskModeling forManagementDale LehmanAlaska Pacific University,Anchorage, USA

Huybert GroenendaalEpiX Analytics, Boulder,Colorado, USA

Greg NolderDenali Alaskan Federal Credit Union

This book offers a one-stop resource for per-forming quantitative risk analyses. The authorsprovide practical case studies along withdetailed instruction and illustration of the fea-tures of ModelRisk®, the most advanced riskmodeling spreadsheet software currently avail-able. The specific examples in the text demon-strate a number of cutting-edge tools and tech-niques that are very powerful in risk analysis butare not available in other spreadsheet simulationprograms. The book covers modeling complexcorrelations, aggregating uncertainty and vari-ability, and estimating parameter and modeluncertainty.

Catalog no. K12589, September 2011, 284 pp.ISBN: 978-1-4398-5552-2, $89.95 / £57.99Also available as eBook

Coming Soon!

TheFundamentalRules of RiskManagementEdited by

Nigel Da Costa Lewis

Taking on risk is like building a bomb: when youignore the fundamental rules, you bury it alive.It will explode. Maybe not today or tomorrow,but one day it will explode. As you read throughThe Fundamental Rules of Risk Management,you will discover that the consequences to per-sonal finances, professional careers, corporatesurvivability, and even nation states can beruinous. In this thought-provoking text, Dr.Lewis provides examples and case studies todemonstrate how the rules of risk can work toprotect and enhance investor value.

Catalog no. K10832, June 2012, c. 216 pp.ISBN: 978-1-4398-1618-9, $69.95 / £44.99

Coming Soon!

Risk Assessmentand DecisionAnalysis withBayesianNetworksNorman Fenton, and Martin NeilQueen Mary University of London, UK

Bayesian networks are widely recognized asexciting and powerful technology for handlingrisk assessment. This book focuses on applica-tions of Bayesian networks and practical modelbuilding using AgenaRisk, a powerful commer-cial software tool. The text includes real-lifeexamples from the areas of operational risk, soft-ware risk, and reliability. Topics covered includeprobability tables, continuous variables, anddecision-support systems. The authors introduceall the necessary probability and statistics andpresent the essential algorithms in an appendix.

The book has two parts. The first part teaches allthe basics of probability and risk and aboutbuilding and using BN models, while the secondpart goes into the detailed applications. Theunderlying BN algorithms appear in appendicesrather than the main text since there is no needto understand these in order to build and use BNmodels. While purists have argued that only byunderstanding the algorithms can you under-stand the limitations and hence build efficientBN models, the authors overcome this by pro-viding pragmatic advice about model buildingto ensure models are built efficiently. Theirapproach means that the main body of the textis free of the intimidating mathematics that hasbeen a major impediment to the more wide-spread use of BNs.

Selected Contents:

Introduction. Probability and Bayes Basics.From Bayes to Bayesian Nets. Defining theProbability Tables. Incorporating ContinuousVariables. From Bayesian Nets to Decision-Support Systems for Risk. Building Models From Data.

Catalog no. K10450, August 2012, c. 616 pp.ISBN: 978-1-4398-0910-5, $79.95 / £49.99Also available as eBook






OptionValuationA First Course in FinancialMathematicsHugo D. JunghennThe George WashingtonUniversity, Washington, D.C., USA

Chapman & Hall/CRC FinancialMathematics Series

With numerous examples and exercises, thisclassroom-tested text provides a straightforwardintroduction to the mathematics and modelsused in the valuation of financial derivatives. Itexamines the principles of option pricing in detailvia standard binomial and stochastic calculusmodels and develops the requisite mathematicalbackground as needed. The first nine chapters ofthe book describe option valuation techniques indiscrete time using the binomial model. Theremaining chapters illustrate the theory in con-tinuous time, with an emphasis on the Black-Scholes-Merton model. A solutions manual isavailable upon qualifying course adoption.


Risk Analysis in Finance and InsuranceSecond EditionAlexander MelnikovUniversity of Alberta,Edmonton, Canada


Reorganized and expanded, this updated bookintroduces the main ideas, techniques, and sto-chastic models of financial mathematics. Itfocuses on the foundations and key concepts ofthe modern methodology of quantitative finan-cial analysis, explores the problems of managinginsurance risks, and examines the multipleintrinsic connections between insurance risksand financial risks. With more examples andproblems, this edition contains an expandedsection on the foundations of probability andstochastic analysis and covers new topics,including financial markets with stochasticvolatility.

Catalog no. C0525, April 2011, 328 pp.ISBN: 978-1-4200-7052-1, $89.95 / £57.99Also available as eBook

RiskMonetizationConverting Threatsand Opportunitiesinto Impact onProject ValueGlenn R. KollerSuitable for readers in any organization or areaof expertise, this practical book addresses theorganizational, political, cultural, and technicalissues related to implementing a successful riskassessment, management, and monetizationprocess. It gives examples of risk-monetizationtechniques applied in a variety of settings anddiscusses the typical risk situation for most proj-ects and the shortcomings of conventionalprocesses. It also describes how risk identifica-tion, assessment, management, and monetiza-tion processes are set up in an ideal environmentas well as in imperfect situations.


An Introductionto ExoticOption PricingPeter BuchenUniversity of Sydney, Australia


In an easy-to-understand, nontechnical yetmathematically elegant manner, this bookshows how to price exotic options, includingcomplex ones, without performing complicatedintegrations or formally solving PDEs. It developsspecial pricing techniques based on the no-arbi-trage principle and fully derives every price for-mula for the exotic options. The author incorpo-rates a significant amount of original, previouslyunpublished material, such as the use of log-volutions and Mellin transforms to solve theBlack–Scholes PDE. He also demystifies manyesoteric issues underpinning the mathematicaltreatment of the subject.

Catalog no. C9100, February 2012, 296 pp.ISBN: 978-1-4200-9100-7, $79.95 / £49.99Also available as eBook







Coming Soon!

ComputationalMethods inFinanceAli HirsaCaspian Capital Management,LLC, New York, New York, USA


This text addresses a variety of numerical meth-ods for pricing derivative contracts, includingFourier techniques, finite differences, numericalsimulation, and Monte Carlo simulation meth-ods—one of the first books to cover all of thesetechniques. After presenting the basics of pric-ing techniques, it covers key concepts of calibra-tion and parameter estimation. Written by apopular professor at Columbia University andNYU’s Courant Institute, the book is suitable forany graduate course on computational financein financial engineering and financial mathemat-ics programs as well as for practitioners interest-ed in computational methods in finance.

Catalog no. K11454, August 2012, c. 456 pp.ISBN: 978-1-4398-2957-8, $89.95 / £59.99Also available as eBook Methods for

Estimation andInference inModernEconometricsStanislav AnatolyevNew Economic School, Moscow,Russia

Nikolay GospodinovConcordia University, Montreal, Quebec, Canada

This book covers important topics in economet-rics. It discusses methods for efficient estimation inmodels defined by unconditional and conditionalmoment restrictions, inference in misspecifiedmodels, generalized empirical likelihood estima-tors, and alternative asymptotic approximations.The first chapter provides a general overview ofestablished nonparametric and parametricapproaches to estimation and conventional frame-works for statistical inference. The next severalchapters focus on the estimation of models basedon moment restrictions implied by economic the-ory. The final chapters cover nonconventionalasymptotic tools that lead to improved finite-sam-ple inference.


Coming Soon!

QuantitativeFinanceAn Object-OrientedApproach in C++Erik SchloglUniversity of Technology, Sydney, Australia


A textbook for students and a reference guidefor professionals, this text builds a foundation inthe key methods and models of quantitativefinance from the perspective of their implemen-tation in C++. It introduces computationalfinance in a pragmatic manner, focusing onpractical implementation. The author takes anobject-oriented approach that starts from simplebuilding blocks for assembling more complexand powerful models. The author expressesmodels and algorithms of the industry-standardC++ language and includes working C++ sourcecode on a CD that accompanies the book.

Catalog no. C4797, September 2012, c. 506 pp.ISBN: 978-1-58488-479-8, $79.95 / £49.99Also available as eBook

Coming Soon!

Monte CarloSimulation withApplications to FinanceHui WangBrown University, Providence,Rhode Island, USA

Chapman & Hall/CRC Financial Mathematics Series

Exploring the use of Monte Carlo simulation infinance, the author introduces advanced vari-ance reduction techniques, covering such topicsas importance sampling and stratified sampling.He also discusses numerical approximation,option pricing, and sensitivity analysis. The textpresents diffusion techniques for diffusion mod-els, American options, and sensitivity analysis. Italso contains various types of exercises, progres-sive MATLAB®-based coding assignments, andcomputational projects.

Catalog no. K12713, June 2012, c. 296 pp.ISBN: 978-1-4398-5824-0, $79.95 / £49.99Also available as eBook






Event HistoryAnalysis with RGöran BroströmProfessor emeritus of statistics,Centre for Population Studies,Umeå University


With an emphasis on social science applications,this book presents an introduction to survivaland event history analysis. It focuses on practicalapplications in the fields of demography, epi-demiology, and econometrics. The text includesa wide range of real examples, with data avail-able online and supported by a dedicated Rpackage for performing all of the analyses.Keeping mathematical details to a minimum,the author covers key topics, including both dis-crete and continuous time data, parametric pro-portional hazards, and accelerated failure times.


Economic Time SeriesModeling andSeasonalityEdited by

William R. Bell, Scott H. Holan,and Tucker S. McElroyThis book is a focusedresource on the analysis ofeconomic time series as it pertains to modelingand seasonality. It presents cutting-edgeresearch that would otherwise be scatteredthroughout diverse peer-reviewed journals. Thiscompilation of 21 chapters showcases the cross-fertilization between the fields of time seriesmodeling and seasonal adjustment, as is reflect-ed both in the contents of the chapters and intheir authorship, with contributors coming fromacademia and government statistical agencies.

Catalog no. K12089, March 2012, 554 pp.ISBN: 978-1-4398-4657-5, $99.95 / £63.99Also available as eBook

Analysis ofQuestionnaireData with RBruno FalissardINSERM U669, Paris, France

Addressing the problem of analysis of question-naire data and interpretation of results, this bookproposes a methodology that uses R software.The author takes a practical approach to thesubject, presenting principles first, followed bydetailed examples of their application to realdata. He discusses principles of data manage-ment and manipulation, and covers descriptivestatistics, statistical modeling, reliability, andmissing data. The book focuses on R packagesthat are readily available and integrates discus-sion of their implementation and code through-out. All the data sets and R code packages areprovided on an associated website.

Catalog no. K10917, September 2011, 280 pp.ISBN: 978-1-4398-1766-7, $89.95 / £57.99Also available as eBook

Coming Soon!

Latent MarkovModels forLongitudinalDataFrancesco Bartolucci,Alessio Farcomeni,and Fulvia PennoniExploring the theory and applications of latentMarkov modeling in a common conceptualframework, this book presents a nontechnicaloverview of latent Markov models and theirpotential in socio-economic applications. Thestatistical approach of the text emphasizes infer-ence and the use of models in applications. Thebook first describes the latent Markov modelproposed by Wiggins, taking into account othermodels in the field, such as latent transitionanalysis and hidden Markov analysis. Theauthors then lead readers to the possibility ofimplementing, using, and calibrating the latestdevelopments. They also provide ad hoc MAT-LAB® routines for fitting the proposed models.

Catalog no. K10884, August 2012, c. 320 pp.ISBN: 978-1-4398-1708-7, $89.95 / £57.99


Statistics for Social Science& Psychology

Statistics for Social Science& Psychology





27

Statistics for Social Science & Psychology


InformativeHypothesesTheory and Practicefor Behavioral andSocial ScientistsHerbert HoijtinkUniversity Utrecht, The Netherlands

Series: Chapman & Hall/CRCStatistics in the Social andBehavioral Sciences

This detailed book discusses the evaluation ofbehavioral and social science hypotheses that aremore informative than traditional null and alter-native hypotheses. Requiring a minimal prerequi-site knowledge of multivariate statistics, such asregression and ANOVA, it provides relevant infor-mation for those doing active research in thesocial and behavioral sciences. InformativeHypotheses: Theory and Practice for Behavioraland Social Scientists considers Bayesian and clas-sical approaches and pays considerable attentionto sample size determination. Software is avail-able for all functions discussed in the book.


BehavioralResearch andAnalysisAn Introduction toStatistics within theContext ofExperimental Design,Fourth EditionMax VercruyssenHawaii Academy, Honolulu, USA

Hal W. HendrickCastle Pines Village, Colorado, USA

This text provides an overview of basic statisticalmethods used in behavioral research, experimen-tal design, and report writing. It uniquely inte-grates statistics within the context of experimentaldesign and simplifies the process of planning, con-ducting, analyzing, and preparing an experimen-tal or research study report. Reflecting the changesof the APA guidebook and including SAS statisticalsoftware in the end-of-chapter exercises, thisupdated fourth edition presents new statisticalprocedures and new examples in sport science,public health, gerontology, and biomedicine.


ModernStatistics forthe Social andBehavioralSciencesA PracticalIntroductionRand WilcoxUniversity of Southern California,Los Angeles, USA

Designed for a two-semester, introductorycourse for graduate students in the social sci-ences, this text introduces three major insights:1) justifying normality via the central limit theo-rem can require much larger sample sizes thanonce thought, 2) the impact of heavy-tailed dis-tributions on power, measures of effect size, andmeasures of association can be devastating evenwith large sample sizes, and 3) heteroscedastici-ty can invalidate classic methods. Focusing onconceptual issues rather than complex compu-tational details, it also provides a library of Rfunctions for applying modern methods thateffectively deal with these insights.


ExperimentalDesignFrom Psychophysicsto User Studies Douglas CunninghamBrandenburg University ofTechnology, Cottbus, Germany

Christian WallravenKorea University, Seoul, Republic of Korea

This book explains the basic terminology used todiscuss experiments and takes a brief look at themore than 150-year history of experiments inpsychology. It covers how to generalize from a few people to the whole population. Thelargest part of the book is dedicated to the mostflexible, and arguably the most central, aspect ofan experiment: What do the participants do?Each chapter follows the same structure andincludes two examples, one from traditional psy-chophysics and one using computer-animatedfacial expressions as stimuli.







Environmental Statistics

SimulatingNatureA PhilosophicalStudy of Computer-SimulationUncertainties andTheir Role in ClimateScience and PolicyAdvice, Second EditionArthur C. PetersenPBL Netherlands Environmental Assessment Agency, Bilthoven

Addressing how to manage the science-policyinterface, this book presents a philosophical studyof the issues surrounding uncertainty in scientificsimulation, particularly concerning the role itplays in public policy regarding climate change.The author, who participated in the UnitedNations’ Intergovernmental Panel on ClimateChange (IPCC) plenaries in 2001 and 2007, dis-cusses the assessment reports and workings of theIPCC. This second edition reflects the latest devel-opments in climate change policy.

Catalog no. K14379, April 2012, 224 pp.Soft Cover, ISBN: 978-1-4665-0062-4$59.95 / £38.99Also available as eBook

Coming Soon!

StatisticalGeoinformaticsfor HumanEnvironmentInterfaceWayne L. Myers andGanapati P. PatilChapman & Hall/CRC Applied Environmental Statistics

A clear, concise discussion of spatial patterns ofinteraction between complexes of environmentalprocess factors and human process factors, thisbook facilitates the convergence of the two sidesfor focus on the interactions between human factors and environmental factors at the interface.It recognizes the information resources in therepertoire of each side and elucidates the infor-mational elements with special relevance to theinterface and ways of handling these elementseffectively. The author takes an intellectual middleground between spatial statistics, multivariateanalysis, and geographic information systems.

Catalog no. C2876, August 2012, c. 216 pp.ISBN: 978-1-4200-8287-6, $79.95 / £49.99Also available as eBook

SpatialStatisticsGeoSpatialInformationModeling andThematic MappingMohammed A. KalkhanColorado State University, Fort Collins, USA

Geospatial information modeling and mappinghas become an important tool for the investiga-tion and management of natural resources atthe landscape scale. This book reviews the typesand applications of geospatial information data,such as remote sensing, geographic informationsystems (GIS), and GPS, as well as their integra-tion into landscape-scale geospatial statisticalmodels and maps. Readers will learn the require-ments and limitations of each geospatial tool.With statistical data analysis methods, the textincludes laboratory exercises using ArcInfo,ArcGIS, ArcView, ERDAS-IMAGINE, and otherpopular software for geospatial modeling. It alsofeatures case studies with examples.

Catalog no. 69764, May 2011, 184 pp.ISBN: 978-1-4200-6976-1, $79.95 / £33.99

Coming Soon!

Introduction toHierarchicalBayesianModeling forEcological DataEric Parent andEtienne RivotSeries: Chapman & Hall/CRCApplied Environmental Statistics

Bayesian statistics are becoming the contempo-rary standard for treating ecological data. Thisbook is designed for readers who are interested inthe quantitative analysis of environmental datayet reluctant to apply ready-made technicalrecipes without understanding how and why theywork. Mainly based on real case studies from fishpopulation investigations, it highlights up-to-dateecological issues, including biodiversity, popula-tion behavior, and uncertainty, and shows howthey could be revisited by using Bayesian model-ing techniques. The text encourages readers todeal with advanced ecological issues in practiceand to implement models of their own.

Catalog no. C9195, July 2012, c. 416 pp.ISBN: 978-1-58488-919-9, $89.95 / £57.99Also available as eBook





29

Environmental Statistics Statistics in Engineering & Physical Science


StatisticalTechniques forProject ControlAdedeji B. BadiruAir Force Institute of Technology,Dayton, Ohio, USA

Tina KovachDawn Foods Products, Detroit, Michigan, USA

Industrial Innovation Series

A project can be simple or complex. In eachcase, proven project management processesmust be followed. In all cases of project man-agement implementation, control must be exer-cised in order to assure that project objectivesare achieved. This book fills the void that existsin the application of statistical techniques toproject control. Although designed as a practicalguide for project management professionals, thebook will also benefit students, researchers, andinstructors.

Catalog no. 83171, January 2012, 412 pp.ISBN: 978-1-4200-8317-0, $99.95 / £63.99Also available as eBook

AppliedReliabilityThird EditionPaul A. TobiasRetired, Austin, Texas, USA

David C. TrindadeBloom Energy

This easy-to-use guide addresses basic descrip-tive statistics, reliability concepts, exponentialdistribution, Weibull distribution, and lognormaldistribution. It also covers reliability data plot-ting, acceleration models, life test data analysisand systems models, and much more. The thirdedition includes a new chapter on Bayesian reli-ability analysis and expanded, updated coverageof repairable system modeling. Taking a practi-cal and example-oriented approach to reliabilityanalysis, the book provides detailed illustrationsof software implementation throughout usingseveral widely available software packages.Software and other files are available online.

Catalog no. C4665, August 2011, 600 pp.ISBN: 978-1-58488-466-8, $89.95 / £63.99Also available as eBook

Spatial DataAnalysis inEcology andAgricultureUsing RRichard E. PlantUniversity of California, Davis, USA

This book provides practical instruction on theuse of the R programming language to analyzespatial data arising from research in ecology andagriculture. The book is written in terms of theanalysis of four data sets, two from ecology andtwo from agriculture. These data sets are avail-able online. The author guides readers throughthe analysis of each of these data sets, includingsetting the research objective, designing thesampling plan, data quality control, exploratoryand confirmatory data analysis, and drawing scientific conclusions. All of the R code describedin the book is available online.

Catalog no. K11009, March 2012, 648 pp. ISBN: 978-1-4398-1913-5, $89.95 / £57.99Also available as eBook

Modelling andQuantitativeMethods inFisheriesSecond EditionMalcolm HaddonCSIRO, Hobart, Tasmania, Australia

Revised and restructured, this second editionprovides an accessible introduction to quantita-tive methods in fisheries. It features new materi-al on tests and comparisons as well as new chap-ters on length-based models and uncertaintyestimation using Bayesian methods. Employinga structured, logical, step-by-step approach, thistext covers a range of topics, including simplelinear regression, complex nonlinear modeling,methodology, and specific fields in fisheries. Italso includes numerous real-world examplesimplemented in Excel, with workbooks for allexamples available online.

Catalog no. C561X, March 2011, 465 pp.ISBN: 978-1-58488-561-0, $79.95 / £39.99Also available as eBook






Statistics in Engineering & Physical Science

Advanced RiskAnalysis inEngineeringEnterpriseSystemsC. Ariel PintoOld Dominion University,Norfolk, Virginia, USA

Paul R. GarveyThe MITRE Corporation, Bedford,Massachusetts, USA

Statistics: A Series of Textbooks and Monographs

This book gives you advanced methods for tack-ling risk problems at the enterprise level. It focuseson the modeling, analysis, and management ofrisk in today’s complex engineering enterprise sys-tems. The text presents a risk analytical frameworkfor engineering enterprise systems and coverscapability portfolio risk management, functionaldependency network analysis, and extreme-eventtheory. It also discusses prioritization systems inhighly networked enterprise environments andexamines how to measure risks of extreme laten-cies in complex queuing networks.


Coming Soon!

Reliability andMaintenanceNetworks and SystemsFrank BeicheltUniversity of Witwatersrand,Johannesburg, South Africa

Peter TittmannUniversity of Applied Sciences,Mittweida, Germany

This book addresses the key parts of reliabilitytheory: binary and multi-state monotone sys-tems, network reliability, and maintenance theo-ry. Accessible to engineers, statisticians, andmathematicians in reliability, this self-containedtext provides many worked examples, algo-rithms, simulation methods, and exercises, withsolutions in an appendix. Specific topics coveredinclude disjoint sum representations of the sys-tem function, systems consisting of componentswith statistically dependent lifetimes, and life-time and aging analyses of simple and binarymonotone systems.


Coming Soon!

EssentialStatisticalConcepts forthe QualityProfessionalD. H. StamatisUniversity of Phoenix School ofBusiness, Southgate, Michigan, USA

Many books and articles have been written onhow to identify the "root cause" of a problem.However, the essence of any root cause analysis inour modern quality thinking is to go beyond theactual problem. This book offers a new non-tech-nical statistical approach to quality for effectiveimprovement and productivity by focusing onvery specific and fundamental methodologies aswell as tools for the future. It examines the fun-damentals of statistical understanding, and bydoing that the book shows why statistical use isimportant in the decision making process.


AppliedOperationalResearch with SASAli Emrouznejad and William HoAston Business School,Birmingham, UK

Using a wide range of OR optimization exam-ples, this book demonstrates how the OR proce-dures in SAS work. The text is one of the first toextensively cover the application of SAS proce-dures to OR problems, such as single criterionoptimization, project management decisions,printed circuit board assembly, and multiple cri-teria decision making. The authors present theprinciples behind PROC OPTMODEL and otherSAS procedures and describe the algorithms andmethods for linear programming, integer linearprogramming, and goal programming models.






More from Chapman & Hall/CRC

The R SeriesStatistical Computing in C++ and RRandall L. Eubank and Ana KupresaninChapman &Hall/CRC The R Series

• Integrates both C++ and R for the solutionof statistical computing problems

• Covers object-oriented programming inboth languages

• Provides an introduction to parallel processing in C++ and R


Coming Soon!

Programming GraphicalUser Interfaces with RMichael 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 designtheir own GUIs for specific functions or aslearning tools

• Offers a package in CRAN that contains all of the code and additional examples




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