Multiple Comparisons Using R

von Frank Bretz, Torsten Hothorn, Peter Westfall

208 Seiten, Hardcover

Kurzbeschreibung des Verlags

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

• Themen: Mathematik und Naturwissenschaften Mathematik Wahrscheinlichkeitsrechnung und Statistik
• ISBN: 9781584885740
• Sprache: Englisch
• Erscheinungsdatum: 27.07.2010
• Größe: 240 x 161 mm
• Verlag: Chapman and Hall/CRC