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Tests for Treatment Group Equality When Data are Nonnormal and Heteroscedastic

Tests for Treatment Group Equality When Data are Nonnormal and Heteroscedastic

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Title: Tests for Treatment Group Equality When Data are Nonnormal and Heteroscedastic
Author: Cribbie, Robert A.
Wilcox, Rand R.
Bewell, Carmen
Keselman, H. J.
Abstract: Several 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.
Sponsor: Social Sciences and Humanities Research Council'
Subject: Welch test on ranks
nonparametric statistics
nonnormality
heteroscedasticity
mean equality
Type: Article
Rights: https://digitalcommons.wayne.edu/jmasm/vol6/iss1/12/
URI: https://doi.org/10.22237/jmasm/1177992660
http://hdl.handle.net/10315/34628
Published: Wayne State University Library System
Citation: Cribbie, 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
Date: 2007

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