Methodology and application of the Kruskal-Wallis test

被引：493

作者：

Ostertagová, Eva ^{[1
]}

Ostertag, Oskar ^{[1
]}

Kováč, Jozef ^{[1
]}

机构：

[1] Technical University of Košice, Košice

来源：

Applied Mechanics and Materials | 2014年 / 611卷

关键词：

Conover-Inman test; Kruskal-Wallis test; MATLAB; Nonparametric multiple comparisons;

D O I：

10.4028/www.scientific.net/AMM.611.115

中图分类号：

学科分类号：

摘要：

This paper describes the methodology and application of the very popular nonparametric test which is a rank based test named as Kruskal-Wallis. This test is useful as a general nonparametric test for comparing more than two independent samples. It can be used to test whether such samples come from the same distribution. This test is powerful alternative to the one-way analysis of variance. Nonparametric ANOVA has no assumption of normality of random error but the independence of random error is required. If the Kruskal-Wallis statistic is significant, the nonparametric multiple comparison tests are useful methods for further analysis. The statistical analysis of the application data in this paper was performed with software MATLAB. © (2014) Trans Tech Publications, Switzerland.

引用

页码：115 / 120

页数：5

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