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The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Power study of anova versus Kruskal-Wallis test

Hecke, T. Van·2012·Journal of Statistics and Management Systems

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.

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Crossref · 10.1080/09720510.2012.10701623

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Metadata

Authors
Hecke, T. V.
Venue
Journal of Statistics and Management Systems
Published
2012-05
Volume
15
Issue
2-3
Pages
241-247
ISSN
  • 0972-0510 (ISSN-L)
  • 2169-0014
OpenAlex
W1973030886
Cited by
276
References
10
FWCI
0.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Power study of anova versus Kruskal-Wallis test. https://app.cochat.ai/papers/10.1080/09720510.2012.10701623
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Hecke, T. V. (2012). Power study of anova versus Kruskal-Wallis test. Journal of Statistics and Management Systems. https://doi.org/10.1080/09720510.2012.10701623

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.