Computational StatisticsAn Introduction to RGünther SawitzkiSTATLAB, HEIDELBERG, GERMANY

“… a fresh perspective on teachingstatistics. … The book introducesits topics and the correspondingmethodologies well. …”—Journal of Statistical Software, December 2009

“… a well-written and nicely orga-nized book … it is the integration of interesting examplesand associated R code that make the text a pleasure to readand work through. …”

—Ronald D. Fricker, Jr., The American Statistician

Catalog no. C6782, 2009264 pp., ISBN: 978-1-4200-8678-2, $79.95 / £48.99

Bestseller! A Handbook of StatisticalAnalyses Using RSecond EditionBrian S. EverittKING’S COLLEGE, UNIVERSITY OF LONDON, UK

Torsten HothornLUDWIG-MAXIMILIANS-UNIVERSITÄT MÜNCHEN, GERMANY

This handbook provides a guide to data analysis using the Rsystem for statistical computing. This edition contains newchapters on graphical displays, generalized additive models,and simultaneous inference as well as a new section on gen-eralized linear mixed models. The authors include newexamples and more exercises in several chapters, along witha new version of the HSAUR package (available fromCRAN).

Catalog no. C7933, January 2010376 pp., Soft Cover, ISBN: 978-1-4200-7933-3, $54.95 / £34.99

S e e r e v e r s e f o r m o r e s t a t i s t i c s b o o k s

An Introduction toStatistical Inference andIts Applications with RMichael W. TrossetINDIANA UNIVERSITY, BLOOMINGTON, USA

With many examples, case studies,and exercises, this text explains how

statistical methods are used for data analysis and uses theelementary functions of R to perform the individual steps ofstatistical procedures. It introduces basic concepts of infer-ence through a careful study of several important proce-dures, including parametric and nonparametric methods,analysis of variance, and regression. The R code and data setsare available for download online.

Catalog no. C9470, 2009496 pp., ISBN: 978-1-58488-947-2, $79.95 / £48.99

Bestseller! Introduction to ScientificProgramming andSimulation Using ROwen Jones, Robert Maillardet, andAndrew RobinsonUNIVERSITY OF MELBOURNE, PARKVILLE, AUSTRALIA

“… I highly recommend the text, finding it to be one of themost useful books I have read on the subject.”

—Journal of Statistical Software, September 2010, Volume 36

“… I would strongly recommend this book for readersinterested in using R for simulations, particularly for thosenew to scientific programming or R. …”

—Significance, September 2009

“… If you have never read a book on scientific program-ming and simulation, then I recommend that you start withthis one.”

—International Statistical Review, 2009

Catalog no. C6872, 2009472 pp., ISBN: 978-1-4200-6872-6, $79.95 / £48.99

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SAS and RData Management, StatisticalAnalysis, and GraphicsKen KleinmanHARVARD MEDICAL SCHOOL, BOSTON, MASSACHUSETTS, USA

Nicholas. J HortonSMITH COLLEGE, NORTHAMPTON, MASSACHUSETTS, USA

Eliminating the need to consult laborious documentation, thisbook presents an easy way to learn how to perform an ana-lytical task in both SAS and R. It demonstrates how to use thesoftware and derive identical answers regardless of softwarechoice. The authors include an index for each software andoffer the SAS and R data sets and code for download online.

Catalog no. C7057, January 2010343 pp., ISBN: 978-1-4200-7057-6, $69.95 / £44.99

New!Handbook of FittingStatistical Distributionswith RZaven A. KarianDENISON UNIVERSITY, GRANVILLE, OHIO, USA

Edward J. DudewiczSYRACUSE UNIVERSITY, NEW YORK, USA

Along with in-depth coverage of cut-ting-edge applications, this compre-

hensive and authoritative handbook presents the latest andbest methods, algorithms, and computations for fitting distributions to data. It covers GLD methodology, fitting systems, and recent additions to GLD and generalized bootstrap methods. It also explores real-world applications inagriculture, hurricanes/typhoons/cyclones, insurance andinventory management, materials science, and more. Theaccompanying CD-ROM includes the R programs used formany of the computations.

Catalog no. C7117, October 20101718 pp., ISBN: 978-1-58488-711-9, $149.95 / £95.00

New! Using R for DataManagement, StatisticalAnalysis, and GraphicsNicholas J. HortonSMITH COLLEGE, NORTHAMPTON, MASSACHUSETTS, USA

Ken KleinmanHARVARD MEDICAL SCHOOLBOSTON, MASSACHUSETTS, USA

Explaining how to perform an analytical task in R, this workcovers data management, descriptive summaries, inferentialprocedures, regression analysis, multivariate methods, andthe creation of graphics. The text includes convenient indicesorganized by topic and R syntax and contains many exampleanalyses. Data sets and code are available for download onthe book’s website.

Catalog no. K11360, July 2010297 pp., Soft Cover, ISBN: 978-1-4398-2755-0, $59.95 / £38.99

Graphics for Statisticsand Data Analysis with RKevin J. KeenUNIVERSITY NORTHERN BRITISH COLUMBIA, PRINCE GEORGE, CANADA

“The book is methodical and complete … Reading thisbook will give you the ability to recognize and create themajority of the named graphics of statistics … . I wouldrecommend this book if you were interested in a detailedsurvey of 1D and 2D graphics … .”

—Journal of Statistical Software, September 2010, Volume 36

In this work, the author applies basic principles of soundgraphical design to engaging, real-world examples, using thegraphical functions available in R. The R code is available fordownload on the book’s website.

Catalog no. C0756, April 2010489 pp., ISBN: 978-1-58488-087-5, $69.95 / £39.99

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