Multiple Comparisons Using R

By Torsten Hothorn and Frank Bretz

Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. Adopting a unifying theme based on maximum statistics, this self-contained introduction describes the common underlying theory of multiple comparison procedures through numerous examples. It covers a range of multiple comparison procedures, from the Bonferroni method and Simes' test to resampling and adaptive design methods. The book also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http: //CRAN.R-project.org

• Format: Hardcover
• Language: English
• ISBN: 1584885742
• ISBN13: 9781584885740
• Release Date: July 2010
• Publisher: CRC Press
• Length: 208 Pages
• Weight: 0.95 lbs.
• Dimensions: 0.6" x 6.3" x 9.5"