Nonparametric Statistical Tests

This book provides a modern and accessible overview of computationally intensive nonparametric statistical methods. It presents detailed information on the use of permutation and bootstrap methods to assess the significance of a statistic in a hypothesis test. The text includes numerous real examples to illustrate the methods and uses SAS programs throughout to apply the methods. In addition, a significant portion of the book is devoted to recent nonparametric tests for comparing independent groups with potentially unequal variances.