ABSTRACT

Nonparametric Statistical Tests: A Computational Approach 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. Th

chapter 1|4 pages

Introduction and Overview

chapter 3|38 pages

Tests in the Case of Heteroscedasticity

chapter 4|6 pages

Tests for the General Alternative

chapter 6|6 pages

The Conservatism of Permutation Tests

chapter 8|14 pages

One-Sample Tests and Tests for Paired Data

chapter 9|16 pages

Tests for More than Two Groups

chapter 10|10 pages

Independence and Correlation

chapter 12|6 pages

Nonstandard Situations and Complex Designs

chapter 13|8 pages

Estimation and Confidence Intervals