Frank Bretz / Peter Westfall / Torsten Hothorn
Librería Samer Atenea
Librería Aciertas (Toledo)
Kálamo Books
Librería Perelló (Valencia)
Librería Elías (Asturias)
Donde los libros
Librería Kolima (Madrid)
Librería Proteo (Málaga)
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