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Contents

Statistical Theory & Methods ................................3

Biostatistics ............................................................9

Computational Statistics ......................................14

Statistical Learning & Data Mining......................15

Statistics for Business, Finance & Economics ......17

Statistics for Psychology & Social Science............19

Environmental Statistics ......................................20

Statistical Genetics & Bioinformatics....................20

Statistics for Biological Sciences ..........................21

Statistics for Engineering & Physical Science ......21

Page 7Page 6

Page 9 Page 10

Page 11 Page 12

MBCSTA1 MC_4.6.11rd

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3

Statistical Theory & Methods

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

TextbookComing soon!

PracticalMultivariateAnalysisFifth EditionAbdelmonem Afifi,Virginia A. Clark, andSusanne May

This classic textbook introduces multivariateanalysis to nonstatisticians in the biomedical,social, and management sciences. Each chapter inthis fifth edition features an updated discussionand listing of computer software packages,including S-PLUS, SAS, SPSS, Stata, and STATISTI-CA. Along with new references, data sets, andproblems with solutions, this edition offers a briefdiscussion of R and provides a new chapter onmultilevel analysis that covers random- andmixed-effects regression models for continuousand binary outcome data.

Catalog no. K10864, July 2011, c. 536 pp.ISBN: 978-1-4398-1680-6, $89.95 / £44.99

Bayesian ModelSelection andStatisticalModelingTomohiro AndoKeio University, Kanagawa,Japan

Along with many practical applications, this bookpresents an array of Bayesian inference and modelselection procedures. It thoroughly explains theconcepts, illustrates the derivations of variousBayesian model selection criteria through exam-ples, and provides R code for implementation,which is available for download on the book’swebsite. The text also applies Bayesian modelaveraging to many problems and compares dif-ferent types of simulation-based Bayesian modelselection criteria.

Catalog no. K11633, 2010, 300 pp.ISBN: 978-1-4398-3614-9, $89.95 / £63.99

Also available as an eBook

StatisticalInferenceAn IntegratedBayesian/LikelihoodApproachMurray AitkinUniversity of Melbourne,Australia

Filling a gap in current Bayesian theory, this bookpresents a unified Bayesian treatment of parame-ter inference and model comparisons that can beused with simple diffuse prior specifications. Thisnovel approach provides new solutions to difficultmodel comparison problems and offers directBayesian counterparts of frequentist t-tests andother standard statistical methods for hypothesistesting. The book discusses nonparametricBayesian survey analysis, gives alternatives to cur-rent frequentist nonparametric methods, andincludes new goodness-of-fit methods for assess-ing parametric models.

Catalog no. C3436, 2010, 254 pp.ISBN: 978-1-4200-9343-8, $89.95 / £57.99


TextbookNew!

Bayesian Ideasand DataAnalysisAn Introduction forScientists andStatisticiansRonald Christensen,Wesley O. Johnson, Adam J. Branscum,and Timothy E. Hanson

Emphasizing the use of WinBUGS and R to ana-lyze real data, this text presents statistical tools toaddress scientific questions. It highlights founda-tional issues in statistics, the importance of mak-ing accurate predictions, and the need for scien-tists and statisticians to collaborate in analyzingdata. The WinBUGS code provided offers a con-venient platform to model and analyze a widerange of data. Code and other materials are avail-able on the book’s website.

Catalog no. K10199, January 2011, 516 pp.ISBN: 978-1-4398-0354-7, $69.95 / £44.99






4


AppliedBayesianHierarchicalMethodsPeter D. CongdonUniversity of London, UK

Emphasizing applications and practical comput-ing aspects, this book presents a review ofBayesian hierarchical methods. It provides a com-plete treatment of the main modeling settings.The text includes realistic worked examples fromthe social and health sciences, mainly employingthe WinBUGS package but also incorporatingBayesX code. The author also illustrates MCMCsampling from first principles using R. A set ofprograms linked to the worked examples is avail-able at CRC Press Online.



Handbook ofSpatialStatisticsEdited by

Alan E. Gelfand, Peter Diggle, Peter Guttorp, andMontserrat Fuentes

“… The time has come for a new reference bookin spatial statistics. This handbook remarkablyachieves this aim. … The editorial quality of thebook is absolutely remarkable. … In some chap-ters, R or WinBugs code is made available. Istrongly recommend Handbook of SpatialStatistics … . It will definitely be one of myfavorite books in the field for years to come, andI am convinced that it will be the case for manyscientists. …”

—Statistics and Computing, October 2010



TextbookNew!

NonparametricStatisticalInferenceFifth EditionJean Dickinson Gibbonsand SubhabrataChakrabortiUniversity of Alabama, Tuscaloosa, USA

“… This excellently presented book achieves itsaim of seeding the fundamentals of non-para-metric inference. The theoretical concepts areillustrated with numerical examples and use ofstatistical software is illustrated, wherever possi-ble. The book is undoubtedly well written andpresents a good balance of theory and applica-tions. … I would strongly recommend this bookto university libraries, teachers and undergradu-ate students who want to learn non-parametricinference in theory and practice.”—Journal of the Royal Statistical Society, Series A, April 2011

Catalog no. C7619, January 2011, 650 pp.ISBN: 978-1-4200-7761-2, $99.95 / £63.99


New!

RobustNonparametricStatisticalMethodsSecond EditionThomas P.HettmanspergerPennsylvania State University,University Park, USA

Joseph W. McKeanWestern Michigan University, Kalamazoo, USA

Presenting an extensive set of tools and methodsfor data analysis, this second edition includesmore models and methods and significantlyextends the possible analyses based on ranks. Itcontains a new section on rank procedures fornonlinear models, a new chapter on models withdependent error structure, and new material onthe development of computationally efficientaffine invariant/equivariant sign methods basedon transform-retransform techniques in multivari-ate models. Information about the data sets andR packages can be found at CRC Press Online.







5



New!

Handbook ofParametric andNonparametricStatisticalProceduresFifth EditionDavid J. SheskinWestern Connecticut StateUniversity, Danbury, USA

Unsurpassed in accessibility, practicality, andscope, the fifth edition of this classic handbookprovides up-to-date, in-depth coverage of morethan 160 statistical procedures as well as boththeoretical and practical statistical topics. Thisfifth edition includes two new chapters on statis-tical modeling as well as substantial new materialon statistical quality control, meta-analysis andtime series analysis. Each chapter presents at leastone example of how to compute a statistical testand offers decision tables to help determine theappropriate test.

Catalog no. K12706, April 2011, c. 1926 pp.ISBN: 978-1-4398-5801-1, $169.95 / £108.00

Textbook

Time SeriesModeling,Computation, andInferenceRaquel PradoUniversity of California, SantaCruz, USA

Mike WestDuke University, Durham, North Carolina, USA

This text covers the major areas of modern timeseries models and theory. It also discusses recenttechniques for modeling time series data, such asdynamic graphical models, SMC methods, andnonlinear/non-Gaussian dynamic models. Theauthors present analyses of real time series data innumerous examples and case studies to illustratethe flexibility and practical impact of the modelsand methods. Many of the data sets, R and MAT-LAB® code, and other material are available ontheir websites.



Introduction toTime SeriesModelingGenshiro KitagawaInstitute of StatisticalMathematics, Tokyo, Japan

“… What distinguishes this book from compara-ble introductory texts is the use of state spacemodeling. Along with this, come a number ofvaluable tools for recursive filtering and smooth-ing, including the Kalman filter as well as non-Gaussian and sequential Monte Carlo filters. … auseful reference for the application of state spacemodeling to time series.”

—MAA Reviews, October 2010



Textbook

Design andAnalysis ofExperimentswith SASJohn LawsonBrigham Young University, Provo,Utah, USA

“… The book’s strongest point is its wealth ofpractical examples from a wide range of fields,such as agriculture, industrial production, psy-chology, pharmacology … the examples are veryhelpful for grasping the ideas behind appliedexperimentation. … a very useful addition to thelibrary of anyone with … interest or experiencein applied experimentation. … [also] useful forstatistically skilled readers who want to use soft-ware other than SAS for design and analysis ofexperiments. …”

—Journal of Statistical Software, December 2010,Volume 37







6


TextbookNew!

Design ofExperimentsAn IntroductionBased on LinearModelsMax MorrisIowa State University, Ames, USA

Offering deep insight into the connectionsbetween design choice and the resulting statisti-cal analysis, this text explores how experimentsare designed using the language of linear statisti-cal models. It presents an organized frameworkfor understanding the statistical aspects of exper-imental design as a whole within the structureprovided by general linear models, rather than asa collection of seemingly unrelated solutions tounique problems. Calculations are performedusing R, with commands provided in an appen-dix.



TextbookNew!

Introduction toGeneral andGeneralizedLinear ModelsHenrik Madsen andPoul ThyregodTechnical University of Denmark,Lyngby

Providing a flexible framework for data analysisand model building, this text focuses on the sta-tistical methods and models that can help predictthe expected value of an outcome, dependent, orresponse variable. It offers a sound introductionto general and generalized linear models usingthe popular and powerful likelihood techniques.Numerous real-world examples show how theproblems are solved with R. Ancillaries are avail-able on the book’s website.



New!

OptimalExperimentalDesign with RDieter Rasch, Jurgen Pilz, L.R. Verdooren, andAlbrecht Gebhardt

This work introduces the philosophy of experi-mentation and the need for good design anddata collection for experiments. It gives guidanceon how to construct optimum experimentaldesigns and calculate the sample size 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 theo-retical details for interested mathematical statisti-cians.

Catalog no. K10876, May 2011, c. 334 pp.ISBN: 978-1-4398-1697-4, $99.95 / £63.99

New!

Choice-BasedConjointAnalysisModels and DesignsDamaraju Raghavarao,James B. Wiley, andPallavi ChitturiTemple University, Philadelphia,Pennsylvania, USA

Building on the authors’ significant work in thefield, this book explores the experimental designissues that occur when constructing concept pro-files for discrete choice experimentation (DCE)and conjoint analysis (CA) studies. It show how tomodify commonly used designs and models aswell as develop new types of designs for solvingDCE and CA problems. Requiring minimal math-ematical background, the text explains experi-mental design concepts through illustrativeexamples and provides detailed coding of designmatrices for standard designs.







7



Coming soon!

SmoothingSplinesMethods andApplicationsYuedong WangUniversity of California, SantaBarbara, USA

This book covers basic nonparametric splinemodels, such as polynomial spline, periodicspline, thin-plate spline, L- spline, partial spline,and smoothing spline ANOVA for both Gaussiandata and data from exponential families. It alsopresents smoothing spline models with unequalvariance and correlated random errors as well asadvanced models, including semiparametric lin-ear and nonlinear mixed-effects models and non-parametric and semiparametric nonlinear regres-sion models. In addition, the author describesvector spline models for multivariate observationsand functional linear models.

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

Circular andLinearRegressionFitting Circles andLines by LeastSquaresNikolai ChernovUniversity of Alabama atBirmingham, USA

This book explains how to use modern algorithmsto fit geometric contours to observed data in imageprocessing and computer vision. It looks at how thenumerical algorithms relate to one another throughunderlying ideas, compares the strengths andweaknesses of each algorithm, and illustrates howto combine the algorithms to achieve the best per-formance. The text also identifies obscure issuesthat may be relevant in future research. MATLAB®

codes are available on the author’s website.



New!

StatisticalInferenceThe MinimumDistance ApproachAyanendranath BasuIndian Statistical Institute,Kolkata

Hiroyuki ShioyaMuroran Institute of Technology, Japan

Chanseok ParkClemson University, South Carolina, USA

This book gives a comprehensive account of den-sity-based minimum distance methods and theiruse in statistical inference. It covers statistical dis-tances, density-based minimum distance meth-ods, discrete and continuous models, asymptoticdistributions, robustness, computational issues,residual adjustment functions, graphical descrip-tions of robustness, penalized and combined dis-tances, multisample methods, weighted likeli-hood, and multinomial goodness-of-it tests. Theauthors also introduce the minimum distancemethodology in interdisciplinary areas.

Catalog no. K10008, May 2011, c. 424 pp.ISBN: 978-1-4200-9965-2, $89.95 / £57.99

New!

Handbook ofFittingStatisticalDistributionswith RZaven A. KarianDenison University, Granville,Ohio, USA

Edward J. DudewiczSyracuse University, New York, USA

Along with in-depth coverage of cutting-edgeapplications, this comprehensive and authoritativehandbook presents the latest and best methods,algorithms, and computations for fitting distribu-tions to data. The book covers GLD methodologyand fitting systems as well as recent additions toGLD and generalized bootstrap methods. It alsoexplores real-world applications in agriculture, reli-ability estimation, hurricanes/typhoons/cyclones,hail storms, water systems, insurance and invento-ry management, and materials science. Theaccompanying CD-ROM includes the R programsused for many of the computations.







8


New!

SimultaneousInference inRegressionWei LiuUniversity of Southampton, UK

With examples and MATLAB® programs, this bookprovides a thorough overview of the constructionmethods and applications of simultaneous confi-dence bands for various inferential purposes.Most of the text covers normal-error linear regres-sion models, although the author also describesthe logistic regression model to show how simul-taneous confidence bands can be constructedand used for generalized linear regression models.MATLAB programs and color figures are availablefor download on the author’s website.



TextbookNew!

Introduction toStatistical LimitTheoryAlan 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.Numerous examples illustrate the application ofasymptotic theory to modern statistical problems.The text also includes many end-of-chapter exer-cises and experiments.



Coming soon!

GaussianProcessRegressionAnalysis forFunctional DataJian Qing ShiUniversity of Newcastle upon Tyne, UK

Taeryon ChoiKorea University, Seoul

This book presents an overview of Gaussianprocess regression, all of the necessary theory,and real-world applications from the fields ofmedicine and engineering. It covers the requiredbackground in regression and examines keyaspects of the modeling process, including modelselection as well as more advanced topics. Forimplementing the methods discussed in the text,the authors provide ad hoc software on theirwebsite.

Catalog no. K11716, June 2011, c. 216 pp.ISBN: 978-1-4398-3773-3, $99.95 / £63.99

Expansions andAsymptotics forStatisticsChristopher G. SmallUniversity of Waterloo, Ontario,Canada

Providing a broad toolkit of analytical methods,this book shows how asymptotics, when coupledwith numerical methods, becomes a powerfulway to acquire a deeper understanding of thetechniques used in probability and statistics. Itdescribes core ideas in statistical asymptotics andcovers Laplace approximation, the saddle-pointmethod, and summation of series. The authoralso supplements some topics with relevantMaple™ commands and supplies a list of com-mon series and products, enabling readers toexpand an expression or simplify an expansion.







9

Statistical Theory & Methods Biostatistics


MeasurementErrorModels, Methods,and ApplicationsJohn P. BuonaccorsiUniversity of Massachusetts,Amherst, USA

“This book is a successful attempt to collect,organize and present the literature over thenewly developed and earlier existing topics ofmeasurement error models in one place. …Thematerial that is presented in chapters [11 and12] is, to my knowledge, not available in anyother book on this area. … This book should beof immense help to those who are interested inthe theoretical as well as applied aspects ofmeasurement error models. …”

—Journal of the Royal Statistical Society, Series A, April 2011



New!

BayesianAdaptiveMethods forClinical TrialsScott M. Berry, Bradley P. Carlin, J. Jack Lee, and Peter Muller

“… a rich introduction to Bayesian clinical trialdesign in general. It is written in an extremelyreadable style and is furnished with numerousexamples and a great deal of helpful supplemen-tary code. … This work provides a good overalllook at the Bayesian approach to clinical trials[and] … even delves into the practical regulato-ry issues that arise with the use of the designs.The book would be a worthy addition to thepracticing statistician’s library.”

—Journal of Statistical Software, November 2010,Volume 37



Visualizing DataPatterns withMicromapsDaniel B. CarrGeorge Mason University,Fairfax, Virginia, USA

Linda Williams PickleStatNet Consulting, LLC.,Gaithersburg, Maryland, USA

“The book is extremely well written. … It is obvi-ous that the authors are in total command of thetopic … The language flows nicely and the text isillustrative and entertaining. … The reader gainsa good understanding of what [micromaps] arefor and what they can and cannot accomplish.”—Oliver Schabenberger, SAS Institute Inc., Cary, North

Carolina, USA



New!

Monte CarloSimulation forthePharmaceuticalIndustryConcepts, Algorithms,and Case StudiesMark ChangAMAG Pharmaceuticals, Lexington, Massachusetts, USA

Helping you become a skillful “simulator,” thisbook provides broad coverage of the entire drugdevelopment process, from drug discovery topreclinical and clinical trial aspects to commer-cialization. It presents the theories and methodsneeded to carry out computer simulations effi-ciently, covers both descriptive and pseudocodealgorithms that provide the basis for implementa-tion of the simulation methods, and illustratesreal-world problems through case studies.







10

Biostatistics

New!

Clinical TrialData AnalysisUsing RDing-Geng (Din) Chen University of Rochester MedicalCenter, New York, USA

Karl E. PeaceJiann-Ping Hsu College of PublicHealth, Georgia Southern University, Statesboro, USA

This book thoroughly covers biostatistical analy-ses of clinical trial data and shows step by stephow to implement the statistical methods usingR. Each chapter presents examples of clinical trialsbased on the authors’ actual experiences in clini-cal drug development. Various biostatisticalmethods for analyzing the data are then identi-fied. The authors also develop analysis code usingappropriate R packages and functions.



New!

Clustering inBioinformaticsand DrugDiscoveryJohn D. MacCuish andNorah E. MacCuishMesa Analytics & Computing,Inc., Santa Fe, New Mexico, USA

“…the authors present sufficient options so thatthe user can choose the appropriate method fortheir data. … Practitioners in the pharmaceuticalindustry need an expert guide, which the authorsof this book provide, to extract the most informa-tion from their data. Those of us who learnedtheir clustering from Anderberg, Sokal andSneath, and Willett now have a valuable addi-tional resource suitable for the 21st century.”

—From the Foreword by John Bradshaw, Barley,Hertfordshire, UK



Coming soon!

ControversialStatisticalIssues inClinical TrialsShein-Chung ChowDuke University School ofMedicine, Durham, NorthCarolina, USA

An assessment of the current state of the art, thisbook covers a number of controversial issues thatare commonly encountered when conductingclinical trials. It discusses the appropriateness oftraditional statistical hypotheses for clinical evalu-ation of efficacy and safety, instability of classicalsample size calculation based on informationfrom a small pilot study, and integrity of random-ization and blinding. The author illustrates theissues using real-world examples and up-to-datedata and provides recommendations of possibleresolutions.


New!

Clinical TrialMethodologyKarl E. PeaceJiann-Ping Hsu College of PublicHealth, Georgia SouthernUniversity, Statesboro, USA

Ding-Geng (Din) Chen University of Rochester MedicalCenter, New York, USA

“The book is an excellent overview predicated onthe first author’s seasoned experiences in design-ing, analyzing, and communicating the results ofclinical trials across a broad number of medicaldisciplines. … A nice introductory feature is thehistory of drug law and regulation, which helpsto frame the subsequent statistical discussionnicely. … The real-world examples that dominatethe last few chapters are fantastic. …”

—Gregory Enas







11

Biostatistics


New!

Handbook ofAdaptiveDesigns inPharmaceuticaland ClinicalDevelopmentEdited by

Annpey PongMerck Research Laboratories, Rahway, New Jersey, USA

Shein-Chung ChowDuke University School of Medicine, Durham, NorthCarolina, USA

This handbook provides a comprehensive and uni-fied presentation of the principles and latest statis-tical methodologies used when modifying trial pro-cedures based on accrued data of ongoing clinicaltrials. The book also gives a well-balanced summa-ry of current regulatory perspectives and presentsreal-world examples of a range of adaptive designs.Leading clinical researchers in the pharmaceuticalindustry, academia, and regulatory agencies exam-ine issues commonly encountered when applyingadaptive design methods in clinical trials.



Coming soon!

StatisticalEvaluation ofDiagnosticPerformanceTopics in ROC AnalysisKelly H. Zou, Aiyi Liu,Andriy I. Bandos, Lucila Ohno-Machado,and Howard E. Rockette

This book presents innovative approaches in ROCanalysis, which are relevant to a wide variety ofclinical applications, including medical imaging,cancer research, epidemiology, and bioinformat-ics. The covered topics include monotone-trans-formation techniques in parametric ROC analysis,ROC methods for combined and pooled biomark-ers, Bayesian hierarchical transformation models,sequential designs and inferences in the ROC set-ting, predictive modeling, multireader ROC analy-sis, and free-response ROC methodology.


New!

Dose Finding bythe ContinualReassessmentMethodYing Kuen CheungColumbia University, New York,New York, USA

This book presents the con-tinual reassessment method (CRM) as a tool fordose-finding studies. With a focus on the imple-mentation and practice of the CRM and its varia-tions, it explains how the CRM may be calibratedand extended to suit common clinical settings.The book includes examples of real clinical trialsdata to illustrate the calibration techniques andshows how R can be used to carry out the tech-niques. It also explores alternatives for situationswhere the CRM fails.

Catalog no. C9151, March 2011, 200 pp.ISBN: 978-1-4200-9151-9, $79.95 / £49.99

New!

An Introductionto SurvivalAnalysis UsingStataThird EditionMario Cleves, William Gould, Roberto Gutierrez, andYulia Marchenko

This work helps you gain intuition about how sur-vival analysis estimators work and what informa-tion they exploit as well as acquire deeper, morecomprehensive knowledge of Stata’s survivalanalysis routines. The third edition highlights newfeatures of Stata 11, including competing-risksanalysis and the treatment of missing values viamultiple imputation. Other additions include newdiagnostic measures after Cox regression, Stata’snew treatment of categorical variables and inter-actions, and a new syntax for obtaining predic-tion and diagnostics after Cox regression.

Catalog no. N10331, January 2011, 412 pp.Soft Cover, ISBN: 978-1-59718-074-0$79.95 / £49.99






12

Biostatistics

Coming soon!

FlexibleParametricSurvival AnalysisUsing StataBeyond the CoxModelPatrick Royston University College London andMRC Clinical Trials Unit, UK

Paul C. LambertUniversity of Leicester, UK

Through real-world case studies, this book showshow to use Stata to estimate a class of flexible para-metric survival models. It discusses the modeling oftime-dependent and continuous covariates andlooks at how relative survival can be used to meas-ure mortality associated with a particular diseasewhen the cause of death has not been recorded.The book describes simple quantification of differ-ences between any two covariate patterns throughcalculation of time-dependent hazard ratios, haz-ard differences, and survival differences.

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

New!

Frailty Modelsin SurvivalAnalysisAndreas WienkeMartin-Luther-University Halle-Wittenberg, Germany

Accessible to nonspecialists, this book explainsthe basic ideas in frailty modeling and statisticaltechniques, with a focus on real data applicationand interpretation of the results. It extensivelyexplores how univariate frailty models can repre-sent unobserved heterogeneity. It also empha-sizes correlated frailty models as extensions of uni-variate and shared frailty models. The text showshow to apply the models to real data using R,SAS, and Stata.



New!

BiosurveillanceMethods and CaseStudiesEdited by

Taha Kass-HoutAtlanta, Georgia, USA

Xiaohui ZhangInternational Public HealthInstitute, Tucson, Arizona, USA

“…biosurveillance has come to encompass a broad-er scope of the science and practice of managingpopulation health-related data and information …. This expansive scope is reflected in the diverse col-lection of reports and perspectives … This text pro-vides an important venue for the sharing of ideasand engagement of health scientists and practition-ers that will be needed to assure progress.”—From the Foreword by Daniel M. Sosin, MD, MPH,

Centers for Disease Control and Prevention



TextbookNew!

Exercises andSolutions inBiostatisticalTheoryLawrence KupperUniversity of North Carolina,Chapel Hill, USA

Brian NeelonDuke University, Durham, North Carolina, USA

Sean M. O’BrienDuke University School of Medicine, Durham, NorthCarolina, USA

“… Overall, I like this book very much. The prob-lems are carefully chosen and cover a wide rangeof real-world applications of biostatistical meth-ods. Instructors and students will find this bookto be a good source of supplementary problemsfor practice. … I have taught courses in mathe-matical statistics on several prior occasions andwish a book like this was available earlier.”—Kaushik Ghosh, Journal of Biopharmaceutical Statistics

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






13

Biostatistics


New!

PracticalStatisticalMethodsA SAS ProgrammingApproachLakshmi PadgettCentocor, Malvern,Pennsylvania, USA

This book presents a broad spectrum of statisticalmethods useful for researchers without an exten-sive statistical background. Omitting mathemati-cal details and complicated formulae, it providesSAS programs to carry out the necessary analysesand draw appropriate inferences for common sta-tistical problems. The author describes methodsused for quantitative data and continuous datafollowing normal and nonnormal distributions.She also focuses on simple linear regression, logis-tic regression, and the proportional hazardsmodel.


TestingStatisticalHypotheses ofEquivalence andNoninferioritySecond EditionStefan WellekCentral Institute of MentalHealth, Mannheim, andUniversity of Heidelberg, Germany

“… The update is timely and includes somematerial on new subjects as well as updates ofmaterial presented in the original edition. … thisbook deserves a place on the bookshelf of thelibrary of every pharmaceutical company. … thisbook remains the standard for texts on equiva-lence studies. … A copy of this book should beavailable to every statistician who works on clin-ical trials.”

—Brian Wiens, Journal of Biopharmaceutical Statistics,Issue 3, 2011



New!

Measures ofInterobserverAgreement andReliabilitySecond EditionMohamed M. ShoukriKing Faisal Specialist Hospital &Research Centre, Riyadh, SaudiArabia

Exploring applications in medical research andclinical epidemiology, this text continues to coverimportant issues related to the design and analy-sis of reliability and agreement studies. This edi-tion contains a new chapter that describes variousmodels for methods comparison studies as well asa new chapter on the analysis of reproducibilityusing the within-subjects coefficient of variation.It also emphasizes sample size determination andthe definition of the subjects’ and raters’ popula-tion. The accompanying CD-ROM includes datasets and SAS code.



Coming soon!

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. Theauthors use specific examples in epidemiology toillustrate various model specifications that canimply different sets of causal relationshipsbetween variables. Each model is interpreted inthe context of implicit or explicit causal relation-ships. The authors also use vector geometrywhere applicable to provide an intuitive under-standing of key statistical concepts.






14

Computational Statistics

Coming soon!

R GraphicsSecond EditionPaul MurrellThe University of Auckland, NewZealand

Written by the foremost authority in the field, thisbook explains how to use R to produce high qual-ity statistical graphics. Completely updated andrevised, this second edition highlights new graph-ics-related packages that have been developed,such as the ggplot2 package. A number of newchapters cover these packages in detail. Otherchapters new to this edition feature discussions ofinteractive graphics, 3D graphics, and importinggraphics. The book also includes new examples aswell as enhanced exercises for teaching or self-study.


New!

MultivariateGeneralizedLinear MixedModels Using RDamon M. Berridge andRobert CrouchleyLancaster University, UK

Focusing on sophisticated data analysis tech-niques, this work presents robust and method-ologically sound models for analyzing large andcomplex data sets—enabling readers to answerincreasingly complex research questions. Itapplies the principles of modeling to longitudinaldata from panel and related studies via the Sabresoftware package in R. Many examples through-out the text illustrate the analysis of real-worlddata sets. Supporting materials are available on aSabre-dedicated website.


Textbook

Graphics forStatistics andData Analysiswith RKevin J. KeenUniversity of Northern BritishColumbia, Prince George,Canada

“This is a textbook for graduate students in sta-tistics and a helpful resource for practitioners. …I found the examples particularly useful. Theauthor thoroughly evaluates competing graphi-cal methods in terms of effective display whenapplied to the same data. There is a series ofexercises at the end of each chapter, which com-plements its worked examples. … a valuableresource for practitioners in seeking a referenceon statistical graphics.”

—Journal of the Royal Statistical Society, Series A, April 2011



New!

ExploratoryMultivariateAnalysis byExample Using RFrancois Husson,Sebastien Le, andJerome PagesAGROCAMPUS OUEST, Rennes, France

Full of real-world case studies and practicaladvice, this book focuses on four fundamentalmethods of multivariate exploratory data analysisthat are most suitable for applications. It coversprincipal component analysis when variables arequantitative, correspondence analysis and multi-ple correspondence analysis when variables arecategorical, and hierarchical cluster analysis. Theauthors take a geometric point of view that pro-vides a unified vision for exploring multivariatedata tables. All of the data sets and code are avail-able on the book’s website.







15

Computational Statistics


New!

MultipleComparisonsUsing RFrank BretzNovartis Pharma AG, Basel,Switzerland

Torsten HothornLudwig-Maximilians-UniversitätMünchen, Germany

Peter WestfallTexas Tech University, Lubbock, USA

Adopting a unifying theme based on maximum sta-tistics, this self-contained introduction describes thecommon underlying theory of multiple comparisonprocedures through numerous examples. It coversa range of multiple comparison procedures, fromthe Bonferroni method and Simes’ test to resam-pling and adaptive design methods. The book alsopresents a detailed description of available softwareimplementations in R. The R packages and sourcecode for the analyses are available online.



New!

Using SAS forDataManagement,StatisticalAnalysis, andGraphicsKen KleinmanHarvard Medical School, Boston, Massachusetts, USA

Nicholas J. HortonSmith College, Northampton, Massachusetts, USA

“This book is a well-organized reference text thatsummarizes and illustrates SAS code and com-mon SAS features most often used by statisticalanalysts and others engaged in research anddata analysis. … a handy reference tool for com-mon tasks performed in SAS … . This book wouldalso nicely serve as a supplemental reference textfor an introductory SAS programming class.”—Journal of Biopharmaceutical Statistics, Issue 3, 2011

Catalog no. K11361, January 2011, 305 pp.Soft Cover, ISBN: 978-1-4398-2757-4$59.95 / £38.99


New!

Using R for DataManagement,StatisticalAnalysis, andGraphicsNicholas J. HortonSmith College, Northampton,Massachusetts, USA

Ken KleinmanHarvard Medical School, Boston, Massachusetts, USA

This book presents an easy way to learn how to per-form an analytical task in R, without having to navi-gate through unwieldy software documentation andvast numbers of add-on packages. It covers datamanagement, descriptive summaries, inferential pro-cedures, regression analysis, multivariate methods,and the creation of graphics. Along with many exam-ple analyses, the text includes convenient indicesorganized by topic and R syntax. Data sets and codeare available for download on the book’s website.



Statistical DataMining UsingSASApplicationsSecond EditionGeorge FernandezUniversity of Nevada, Reno, USA

This resource describes statistical data miningconcepts and methods and includes 13 user-friendly SAS macro applications for performingcomplete data mining tasks. Along with manynew features in the SAS-specific macro applica-tions, this second edition now provides access toSAS macros directly from your desktop and offersthe ability to create publication quality graphics.Compiled data mining SAS macro files are avail-able for download online.



Statistical Learning & Data Mining





16


New!

ExploratoryData Analysiswith MATLAB®

Second EditionWendy L. MartinezThe Department of Defense,Fredericksburg, Virginia, USA

Angel R. MartinezStrayer University, Fredericksburg, Virginia, USA

Jeffrey L. SolkaThe Department of the Navy, Dahlgren, Virginia, USA

Like its bestselling predecessor, this second edi-tion continues to use numerous examples andapplications to show how EDA methods are usedin practice. This edition covers many innovativeapproaches for dimensionality reduction, cluster-ing, and visualization, including nonnegativematrix factorization, probabilistic latent semanticanalysis, spectral-based clustering, and Andrews’images method. MATLAB® codes are available fordownload on the book’s website.



New!

Data Miningwith RLearning with CaseStudiesLuis TorgoUniversity of Porto, Portugal

“If you want to learn how to analyze your datawith a free software package that has been builtby expert statisticians and data miners, this isyour book. A broad range of real-world casestudies highlights the breadth and depth of the Rsoftware.”

—Bernhard Pfahringer, University of Waikato, NewZealand

“Both R novices and experts will find this a greatreference for data mining.”—Intelligent Trading blog and R-bloggers, November

2010



New!

Handbook ofEducationalData MiningEdited by

Cristobal Romero,Sebastian Ventura,Mykola Pechenizkiy,and Ryan Baker

This handbook helps education experts under-stand what types of questions EDM can addressand helps data miners understand what types ofquestions are important to educational designand educational decision making. The first part ofthe book includes nine surveys and tutorials onthe principal data mining techniques that havebeen applied in education. The second part pres-ents a set of 25 case studies that give a richoverview of the problems that EDM hasaddressed.



New!

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

Using object-oriented design and programmingtechniques in C++, this book explains how toimplement data clustering algorithms. The authorpresents 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 and object-orientedprogramming in C++. The second section devel-ops the data clustering base classes. The third partimplements popular data clustering algorithms.

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





17


Statistics for Business, Finance & Economics



New!

BayesianArtificialIntelligenceSecond EditionKevin B. Korb and Ann E. NicholsonMonash University, Clayton,Victoria, Australia

Updated and expanded, the second edition ofthis bestseller provides a practical and accessibleintroduction to the main concepts, foundation,and applications of Bayesian networks. This edi-tion contains a new chapter on Bayesian networkclassifiers, along with new applications and casestudies. It also includes new sections on object-oriented Bayesian networks, causal discovery,Markov blanket discovery, and causal discoveryprograms. Supplemental materials are availableon the book’s website.



Introduction toCredit RiskModelingSecond EditionChristian BluhmMunich, Germany

Ludger OverbeckUniversity of Giessen, Germany

Christoph WagnerMunich, Germany

“… A great first step into credit risk modeling. …The book is written in a mixture of theorem-proofand applied styles. … I find this rather pleasing,as it gives the reader the edge of theoreticalexposition … One really useful side of the book isthat it provides step-by-step guide to methodspresented. This should be really appreciated inindustry and among students. …”

—MAA Reviews, January 2011



TextbookNew!

StochasticFinanceA NumeraireApproachJan VecerColumbia University, New York,New York, USA

“Although the importance of the choice ofnumeraire has been recognized for quite sometime, this is the first book to stress the funda-mental role that numeraires play in modern assetpricing theory. The author is the leading experton the subject so it is a pleasure to highly recom-mend this book.”

—Peter Carr, Ph.D., Managing Director of MorganStanley and Executive Director of NYU’s Master of

Science Program in Mathematics in Finance



New!

Risk Analysis inFinance andInsuranceSecond EditionAlexander MelnikovUniversity of Alberta, Edmonton,Canada

Reorganized and expanded, this updated bookintroduces the main ideas, techniques, and sto-chastic models of financial mathematics. Itexplores the problems of managing insurancerisks and examines the multiple intrinsic connec-tions between insurance risks and financial risks.With more examples and problems, this editioncontains an expanded section on the foundationsof probability and stochastic analysis and coversnew topics, including financial markets with sto-chastic volatility, risk measures, risk-adjusted per-formance measures, and equity-linked insurance.

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





18


Coming soon!

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

Extreme value theory is important for assessingthe risk of highly unusual events, such as financialmarket crashes. Emphasizing dependent observa-tions, this book presents a synthesis of research onthe field. It covers several modern topics, such ascompound Poisson approximation, that have notbeen focused on in other books. The text presentsexamples from finance and insurance to illustratemethods and includes exercises and solutions,making it useful for self-study or courses.

Catalog no. K11611, September 2011c. 224 pp., ISBN: 978-1-4398-3574-6$99.95 / £63.99

New!

Handbook ofEmpiricalEconomics andFinanceEdited by

Aman UllahUniversity of California, Riverside,USA

David E.A. GilesUniversity of Victoria, British Columbia, Canada

This handbook brings together both backgroundmaterial and new methodological and appliedresults that are extremely important to the cur-rent and future frontiers in empirical economicsand finance. Well-recognized experts emphasizeinferential issues that transpire in the analysis ofcross-sectional, time series, and panel data-basedempirical models in economics, finance, andrelated disciplines. Containing previously unpub-lished material on econometrics, the book pro-vides a balanced viewpoint of different philo-sophical positions and statistical tools.



Coming soon!

Methods forEstimation andInference inModernEconometricsStanislav AnatolyevNew Economic School, Moscow,Russia

Nikolay GospodinovConcordia University, Montreal, Quebec, Canada

This book discusses methods for efficient estima-tion in models defined by unconditional and con-ditional moment restrictions, inference in mis-specified models, generalized empirical likelihoodestimators, and alternative asymptotic approxi-mations. The first chapter provides a generaloverview of established nonparametric and para-metric approaches to estimation and convention-al frameworks for statistical inference. The nextseveral chapters focus on the estimation of mod-els based on moment restrictions implied by eco-nomic theory. The final chapters cover noncon-ventional asymptotic tools that lead to improvedfinite-sample inference.


Textbook

AppliedStatistics forBusiness andEconomicsRobert M. LeekleyIllinois Wesleyan University,Bloomington, USA

“…this text does an outstanding job of integrat-ing things on the mathematical level. … This isone of the few texts to try to make plausible thecomplex formula for two-sample t degrees offreedom when we do not assume the two vari-ances are equal. … [Students] will like the clearand to the point writing.”

—MAA Reviews, September 2010







19

Statistics for Psychology & Social Science


TextbookComing soon!

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

This text introduces three major advances in thefield: 1) sample size estimation needed to justifynormality via the central limit theorem, 2) theimpact of outliers and heavy-tailed distributionson power and our ability to obtain an accurateassessment of how groups differ and variables arerelated, and 3) the deleterious effects of het-eroscedasticity on conventional ANOVA andregression methods. The book also provides alibrary of R functions.


New!

RandomizedResponse andIndirectQuestioningTechniques inSurveysArijit ChaudhuriIndian Statistical Institute, Calcutta

For surveys involving sensitive questions, random-ized response techniques (RRTs) and other indi-rect questions are helpful in obtaining surveyresponses while maintaining the privacy of therespondents. Written by one of the leadingexperts on RR, this work describes the currentstate of RR as well as emerging developments inthe field. The author explains how to extend RR tosituations employing unequal probability sam-pling and gives his viewpoint on alternative RRtechniques, including the item count technique,nominative technique, and three-card method.



Applied Survey DataAnalysisSteven G. Heeringa,Brady T. West, andPatricia A. BerglundUniversity of Michigan, AnnArbor, USA

“… there is a wealth of instruction here. Thewriting style is expansive, keeping mathematicsin check, and the material is well organizedclearly into appropriate sections. I think that thebook would serve any budding survey practition-er well: armed with the knowledge and practicalskills covered herein, plus some real-life experi-ence of course, one could reasonably claim to bewell qualified in the subject.”

—International Statistical Review (2010), 78, 3



Coming soon!

Analysis ofQuestionnaireData with RBruno FalissardINSERM U669, Paris, France

Addressing the problem of inefficient collectionand analysis of questionnaire data, this book pro-poses a methodology that uses R software. Theauthor discusses principles of good questionnairedesign; data management, capture, and manipu-lation; and descriptive statistics, scoring, reliabili-ty, and missing data. The book integrates discus-sion of R code and implementation throughout.All the data sets and R code packages are provid-ed on a companion website.

Catalog no. K10917, August 2011, c. 240 pp.ISBN: 978-1-4398-1766-7, $89.95 / £57.99






20

Environmental Statistics Statistical Genetics & Bioinformatics

New!

SpatialStatisticsGeoSpatialInformationModeling andThematic MappingMohammed A. KalkhanColorado State University, FortCollins, USA

This book reviews the types and applications ofgeospatial information data, such as remote sens-ing, GIS, and GPS, as well as their integration intolandscape-scale geospatial statistical models andmaps. Readers will learn the requirements andlimitations of each geospatial tool. Along with sta-tistical data analysis methods, the text includeslaboratory exercises using ArcInfo, ArcGIS,ArcView, ERDAS-IMAGINE, and other popularsoftware for geospatial modeling. It also featurescase studies with examples.

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

New!

BayesianModeling inBioinformaticsEdited by

Dipak K. DeyUniversity of Connecticut, Storrs,USA

Samiran GhoshWeill Cornell Medical College, White Plains, New York, USA

Bani K. MallickTexas A&M University, College Station, USA

This volume discusses the development andapplication of Bayesian statistical methods for theanalysis of high-throughput bioinformatics dataarising from problems in molecular and structuralbiology and disease-related medical research. Itpresents a broad overview of statistical inference,clustering, and classification problems in microar-ray gene expression and phylogenic analysis. Thebook covers a variety of recently developedBayesian techniques, along with applications ingenome-wide studies, phylogenetics, breast can-cer, expression genomics, and more.


Also available as an eBookNew!

Local Modelsfor SpatialAnalysisSecond EditionChristopher D. LloydQueen’s University, Belfast,Northern Ireland, UK

With new chapters addressing spatial patterningin single variables and spatial relations, this sec-ond edition provides guidance to a wide varietyof real-world problems. It presents a completeintroduction to key concepts and explores con-nections between methods. In addition, everychapter now includes links to key related studies.The author clearly distinguishes between localand global methods and provides more detailedcoverage of geographical weighting, image tex-ture measures, local spatial autocorrelation, andmulticollinearity and geographically weightedregression.



New!

Introduction toComputationalProteomicsGolan YonaStanford University, California,USA

This introduction tackles the different steps andproblems involved with protein analysis, classifi-cation, and meta-organization. It starts with theanalysis of individual entities and works its waythrough the analysis of more complex entities,from protein families to interactions, cellular path-ways, and gene networks. The book presentsmethods for identifying the building blocks of theprotein space as well as mathematical models forrepresenting protein families and classifying newinstances. It also covers methods that utilize theapplication of unsupervised learning algorithms.







21For more information and complete contents, visit www.crcpress.com

TextbookNew!

An Introductionto StochasticProcesses withApplications toBiologySecond EditionLinda J.S. AllenTexas Tech University, Lubbock, USA

Focusing on discrete and continuous time Markovchains and continuous time and state Markovprocesses, this text presents the basic theory ofstochastic processes necessary to understand andapply stochastic methods to biological problems.This edition contains a new chapter on stochasticdifferential equations that extends basic theory tomultivariate processes. Along with additional ref-erences, it now includes examples and exercisesfrom cellular and molecular biology and doublesthe number of exercises and MATLAB® programsat the end of each chapter.



TextbookNew!

Modelling andQuantitativeMethods inFisheriesSecond EditionMalcolm HaddonCSIRO, Hobart, Tasmania, Australia

With numerous real-world examples, this textprovides an introduction to the analytical meth-ods used by fisheries’ scientists and ecologists.The author presents full, step-by-step derivationsof equations as much as possible to enable a thor-ough understanding of the models and methods.This edition incorporates two new chapters oncharacterizing uncertainty and size-based models.Excel workbooks are available for download fromCRC Press Online.

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

TextbookNew!

Introduction toStatistical DataAnalysis for theLife SciencesClaus Thorn Ekstromand Helle SorensenUniversity of Copenhagen,Denmark

Developed from the authors’ courses at theUniversity of Copenhagen, this text provides acomputational toolbox that enables readers toperform actual analysis for real data sets as well asthe confidence and skills to undertake moresophisticated analyses as their careers progress.While the main text can be used with any statisti-cal software, the authors encourage a reliance onR. Data sets used in the book are available on asupporting website.



TextbookNew!

TransportationStatistics andMicrosimulationClifford SpiegelmanTexas A&M University, CollegeStation, USA

Eun Sug ParkTexas Transportation Institute, College Station, USA

Laurence R. RilettUniversity of Nebraska, Lincoln, USA

By discussing statistical concepts in the context oftransportation planning and operations, this textprovides the necessary background for makinginformed transportation-related decisions. It explainsthe why behind standard methods and uses real-world transportation examples and problems toillustrate key concepts. The book covers the statisti-cal techniques most frequently employed by trans-portation and pavement professionals. Problems canbe solved using SAS’s JMP package, which enablesusers to interactively explore and visualize data.



Statistics for Biological Sciences Statistics for Biological Sciences

Statistics for Engineering & Physical Science





22

Statistics for Engineering & Physical Science

TextbookNew!

Statistical andEconometricMethods forTransportationData AnalysisSecond EditionSimon P. Washington,Matthew G. Karlaftis, and Fred L. Mannering

With many examples and case studies coveringtransportation planning, engineering, safety, andeconomics, this update of a bestseller provides anunderstanding of a broad range of analytical toolsrequired to solve transportation problems. This sec-ond edition includes new chapters on logistic regres-sion, ordered probability models, random-parame-ter models, and Bayesian statistical modeling. It alsooffers an explicit treatment of frequency domaintime series analysis, including Fourier and waveletsanalysis methods. Data sets and PowerPoint andWord presentations are available online.

Catalog no. C285X, January 2011, 544 pp.ISBN: 978-1-4200-8285-2, $99.95 / £63.99


New!

ModelingSurvival DataUsing FrailtyModelsDavid D. HanagalUniversity of Pune, India

Frailty models have been introduced into the sta-tistical literature to account for the existence ofunmeasured attributes, such as genotypes thatintroduce heterogeneity into a study population.With inference results, applications, and refer-ences, this book presents the basic concepts offrailty models in survival analysis. The author alsoaddresses advanced topics in frailty models,including estimation procedures, tests for frailty,and additive frailty models. He covers frailty mod-els based on Levy processes as well as correlatedfrailty models.



TextbookNew!

Probability,Statistics, andReliability forEngineers andScientistsThird EditionBilal M. Ayyub andRichard McCuenUniversity of Maryland, College Park, USA

The third edition of this bestselling text presentsprobability, statistics, reliability, and risk methodswith an ideal balance of theory and applications.It places increased emphasis on simulation, par-ticularly as a modeling tool, applying it progres-sively with projects that continue in each chapter.This edition also features expanded discussions ofthe analysis of variance and a thorough treatmentof Monte Carlo simulation.


New!

StatisticalProcess Controlfor Real-WorldApplicationsWilliam A. LevinsonLevinson Productivity Systems,Wilkes-Barre, Pennsylvania, USA

This book equips readers todeal with non-normal applications scientificallyand to explain the methodology to suppliers andcustomers. It shows how to handle uncooperativereal-world processes that do not follow textbookassumptions. The text explains how to set realis-tic control limits and calculate meaningful processcapability indices for non-normal applications.Highlighting the pitfalls of assuming normality forall processes, the book addresses multivariate sys-tems, nested variation sources, as well as lognor-mal, gamma, and Weibull distributions.







New Books onStatistical Theory, Methods & Applications

“It’s a lovely book, one that I hope will bewidely adopted as a course textbook.”

—Michael Jordan, University of California,Berkeley, USA

“A careful, complete, and lovingly writ-ten exposition of the subjectiveBayesian viewpoint by one of its mosteloquent and staunch defenders.Summarizes a lifetime of theory,methods, and application develop-ments for the Bayesian inferentialengine. A must-read for anyonelooking for a deep understandingof the foundations of Bayesianmethods and what they offermodern statistical practice.”

—Bradley P. Carlin, University ofMinnesota, Minneapolis, USA

Catalog no. K12848May 2011, c. 513 pp.ISBN: 978-1-4398-6161-5$89.95 / £57.99

“… The author list is world-class, devel-oping 24 chapters, half on the theoryside, half on applications. The hand-book provides a state-of-the-art viewof a technology that has revolution-ized contemporary model fitting.Researchers at all levels of familiaritywith MCMC will find novel morselsof material to chew on.”

—Alan E. Gelfand, Duke University,Durham, North Carolina, USA

“In my opinion, this is the mostsignificant book of its kind sincethe 1995 Chapman & Hall/CRCbook, MCMC in Practice, editedby Gilks, Richardson andSpiegelhalter. It is a must-readfor anyone wanting a compre-hensive, modern, and in-depthlook at MCMC.”—Bradley P. Carlin, University of

Minnesota, Minneapolis, USA

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



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