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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
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