Nonparametric statistical tests: a computational approach/ Markus Neuhauser

Includes bibliography and index

Introduction & overview -- Nonparametric tests for the location problem -- Tests in the case of heteroscedasticity -- Tests for the general alternative -- Ordered categorical and discrete numerical data -- The Conservatism of permutation tests -- Further examples for the comparison of two groups -- One-sample tests and tests for paired data -- Tests for more than two groups -- Independence and correlation -- Stratified studies and combination of p- values -- Nonstandard situations and complex designs -- Estimation and confidence intervals --

This book describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods. Numerous real-life data from various areas, including the bible, and their analyses provide for greatly diversified reading.