Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report

This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SA

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures thr

Useful Statistical Approaches for Addressing Multiplicity IssuesIncludes practical examples from recent trials Bringing together leading statisticians, scientis

It is common in econometric applications that several hypothesis tests are carried out at the same time. The problem then becomes how to decide which hypotheses