Tests for Treatment Group Equality When Data are Nonnormal and Heteroscedastic

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dc.contributor.authorCribbie, Robert
dc.contributor.authorWilcox, Rand
dc.contributor.authorBewell, Carmen
dc.contributor.authorKeselman, H. J.
dc.date.accessioned2018-06-05T18:21:40Z
dc.date.available2018-06-05T18:21:40Z
dc.date.issued2007
dc.description.abstractSeveral tests for group mean equality have been suggested for analyzing nonnormal and heteroscedastic data. A Monte Carlo study compared the Welch tests on ranked data and heterogeneous, nonparametric statistics with previously recommended procedures. Type I error rates for the Welch tests on ranks and the heterogeneous, nonparametric statistics were well controlled with a slight power advantage for the Welch tests on ranks.en_US
dc.description.sponsorshipSocial Sciences and Humanities Research Council'
dc.identifier.citationCribbie, R. A., Wilcox, R., Bewell, C. & Keselman, H. J. (2007). Tests for treatment group equality when data are nonnormal and heteroscedastic. Journal of Modern Applied Statistical Methods, 6, 117-132. doi: 10.22237/jmasm/1177992660
dc.identifier.urihttps://doi.org/10.22237/jmasm/1177992660en_US
dc.identifier.urihttp://hdl.handle.net/10315/34628
dc.language.isoenen_US
dc.publisherWayne State University Library Systemen_US
dc.rights.articlehttps://digitalcommons.wayne.edu/jmasm/vol6/iss1/12/
dc.subjectWelch test on ranksen_US
dc.subjectnonparametric statisticsen_US
dc.subjectnonnormalityen_US
dc.subjectheteroscedasticityen_US
dc.subjectmean equalityen_US
dc.titleTests for Treatment Group Equality When Data are Nonnormal and Heteroscedastic
dc.typeArticleen_US

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