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Computational Statistics An Introduction to R

An Introduction to Statistical Inference and Its Applications with R

Günther Sawitzki STATLAB, HEIDELBERG, GERMANY

“… a fresh perspective on teaching statistics. … The book introduces its topics and the corresponding methodologies well. …” —Journal of Statistical Software, December 2009

“… a well-written and nicely organized book … it is the integration of interesting examples and associated R code that make the text a pleasure to read and work through. …” —Ronald D. Fricker, Jr., The American Statistician

Catalog no. C6782, 2009 264 pp., ISBN: 978-1-4200-8678-2, $79.95 / £48.99

Michael W. Trosset INDIANA UNIVERSITY, BLOOMINGTON, USA

With many examples, case studies, and exercises, this text explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. It introduces basic concepts of inference through a careful study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. The R code and data sets are available for download online. Catalog no. C9470, 2009 496 pp., ISBN: 978-1-58488-947-2, $79.95 / £48.99

Bestseller!

Introduction to Scientific Programming and Simulation Using R

Bestseller!

A Handbook of Statistical Analyses Using R

Owen Jones, Robert Maillardet, and Andrew Robinson

Second Edition

UNIVERSITY OF MELBOURNE, PARKVILLE, AUSTRALIA

Brian S. Everitt

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

KING’S COLLEGE, UNIVERSITY OF LONDON, UK

Torsten Hothorn

—Journal of Statistical Software, September 2010, Volume 36

“… I would strongly recommend this book for readers interested in using R for simulations, particularly for those new to scientific programming or R. …” —Significance, September 2009

“… If you have never read a book on scientific programming and simulation, then I recommend that you start with this one.” —International Statistical Review, 2009

Catalog no. C6872, 2009 472 pp., ISBN: 978-1-4200-6872-6, $79.95 / £48.99

LUDWIG-MAXIMILIANS-UNIVERSITÄT MÜNCHEN, GERMANY

This handbook provides a guide to data analysis using the R system for statistical computing. This edition contains new chapters on graphical displays, generalized additive models, and simultaneous inference as well as a new section on generalized linear mixed models. The authors include new examples and more exercises in several chapters, along with a new version of the HSAUR package (available from CRAN). Catalog no. C7933, January 2010 376 pp., Soft Cover, ISBN: 978-1-4200-7933-3, $54.95 / £34.99

See reverse for more statistics books

*Use promo code 932JM when ordering at www.crcpress.com to save 20%.


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New! Data Management, Statistical Analysis, and Graphics

Using R for Data Management, Statistical Analysis, and Graphics

Ken Kleinman

Nicholas J. Horton

SAS and R

HARVARD MEDICAL SCHOOL, BOSTON, MASSACHUSETTS, USA

SMITH COLLEGE, NORTHAMPTON, MASSACHUSETTS, USA

Ken Kleinman

Nicholas. J Horton

HARVARD MEDICAL SCHOOL BOSTON, MASSACHUSETTS, USA

SMITH COLLEGE, NORTHAMPTON, MASSACHUSETTS, USA

Eliminating the need to consult laborious documentation, this book presents an easy way to learn how to perform an analytical task in both SAS and R. It demonstrates how to use the software and derive identical answers regardless of software choice. The authors include an index for each software and offer the SAS and R data sets and code for download online. Catalog no. C7057, January 2010 343 pp., ISBN: 978-1-4200-7057-6, $69.95 / £44.99

Explaining how to perform an analytical task in R, this work covers data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics. The text includes convenient indices organized by topic and R syntax and contains many example analyses. Data sets and code are available for download on the book’s website. Catalog no. K11360, July 2010 297 pp., Soft Cover, ISBN: 978-1-4398-2755-0, $59.95 / £38.99

New!

Handbook of Fitting Statistical Distributions with R

Graphics for Statistics and Data Analysis with R

Zaven A. Karian DENISON UNIVERSITY, GRANVILLE, OHIO, USA

Edward J. Dudewicz

Kevin J. Keen UNIVERSITY NORTHERN BRITISH COLUMBIA, PRINCE GEORGE, CANADA

SYRACUSE UNIVERSITY, NEW YORK, USA

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

Along with in-depth coverage of cutting-edge applications, this comprehensive and authoritative handbook presents the latest and best 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 in agriculture, hurricanes/typhoons/cyclones, insurance and inventory management, materials science, and more. The accompanying CD-ROM includes the R programs used for many of the computations.

Catalog no. C0756, April 2010 489 pp., ISBN: 978-1-58488-087-5, $69.95 / £39.99

Catalog no. C7117, October 2010 1718 pp., ISBN: 978-1-58488-711-9, $149.95 / £95.00

“The book is methodical and complete … Reading this book will give you the ability to recognize and create the majority of the named graphics of statistics … . I would recommend this book if you were interested in a detailed survey of 1D and 2D graphics … .” —Journal of Statistical Software, September 2010, Volume 36

For more information on these and other statistics books, visit www.crcpress.com *Use promo code 932JM when ordering at www.crcpress.com to save 20%. Offer expires December 31, 2010. 932JM_MBSWS10_SP

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World Statistics Day Flyer  

In Celebration of World Statistics Day, Computational Tools of Data Analysis: Essential Statistics Books.

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