Methodology and Application of the Kruskal-Wallis Test

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 t...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 611; no. Applied Mechanics and Mechatronics; pp. 115 - 120
Main Authors Ostertag, Oskar, Kováč, Jozef, Ostertagová, Eva
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.08.2014
Subjects
Analysis of variance
Matlab
Methodology
Random errors
Samples
Statistical analysis
Statistical methods
Statistical tests
Kruskal-Wallis Test
MATLAB
ConoverInman Test
Nonparametric Multiple Comparisons
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Summary: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.
Bibliography:Special topic volume with invited peer reviewed papers only.
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ISBN:303835189X
9783038351894
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.611.115