Power study of anova versus Kruskal-Wallis test 论文
2012Journal of Statistics and Management Systems引用 268
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical TrialsBayesian Methods and Mixture Models
摘要
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.