Power study of anova versus Kruskal-Wallis test
Power study of anova versus Kruskal-Wallis test
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DOI：
10.1080/09720510.2012.10701623
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发表时间：
2012-01-01
影响因子：
1.6
通讯作者：
Van Hecke, T.
中科院分区：
文献类型：
--
作者：
Van Hecke, T.
本文用方差分析法和Kruskal-Wallis检验法在违背正态分布总体假设时的功效进行了比较。置换法被用作确定检验功效的模拟方法。看来，在非对称人口的情况下，非参数Kruskal-Wallis检验比参数等效方差分析方法更好。
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.