December, 2013. Page Version ID: 582594596

Paper abstract bibtex

Paper abstract bibtex

The Kruskal–Wallis one-way analysis of variance by ranks (named after William Kruskal and W. Allen Wallis) is a non-parametric method for testing whether samples originate from the same distribution. It is used for comparing more than two samples that are independent, or not related. The parametric equivalent of the Kruskal-Wallis test is the one-way analysis of variance (ANOVA). When the Kruskal-Wallis test leads to significant results, then at least one of the samples is different from the other samples. The test does not identify where the differences occur or how many differences actually occur. It is an extension of the Mann–Whitney U test to 3 or more groups. The Mann-Whitney would help analyze the specific sample pairs for significant differences.

@misc{noauthor_kruskalwallis_2013, title = {Kruskal–{Wallis} one-way analysis of variance}, copyright = {Creative Commons Attribution-ShareAlike License}, url = {http://en.wikipedia.org/w/index.php?title=Kruskal%E2%80%93Wallis_one-way_analysis_of_variance&oldid=582594596}, abstract = {The Kruskal–Wallis one-way analysis of variance by ranks (named after William Kruskal and W. Allen Wallis) is a non-parametric method for testing whether samples originate from the same distribution. It is used for comparing more than two samples that are independent, or not related. The parametric equivalent of the Kruskal-Wallis test is the one-way analysis of variance (ANOVA). When the Kruskal-Wallis test leads to significant results, then at least one of the samples is different from the other samples. The test does not identify where the differences occur or how many differences actually occur. It is an extension of the Mann–Whitney U test to 3 or more groups. The Mann-Whitney would help analyze the specific sample pairs for significant differences.}, language = {en}, urldate = {2014-01-07TZ}, journal = {Wikipedia, the free encyclopedia}, month = dec, year = {2013}, note = {Page Version ID: 582594596} }

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