Power study of anova versus Kruskal-Wallis test

by Tanja Van Hecke.

Abstract: This paper describes the comparison of the anova and the Kruskal-Wallis test by means of the power when violating the assumption about normally distributed populations. The permutation method is used as a simulation method to determine the power of the test. It appears that in the case of asymmetric populations the non-parametric Kruskal-Wallis test performs better than the parametric equivalent anova method.

Key Words: anova, kruskal-wallis, permutation test, power

Tanja Van Hecke, Tanja.VanHecke@hogent.be

Editor: Zheng Su, su.zheng@gene.com

READING THE ARTICLE: You can read the article in portable document (.pdf) format (64972 bytes.)

NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.

This page has been accessed 2746 times since NOVEMBER 17, 2010.

Return to the InterStat Home Page.