Tests for Treatment Group Equality When Data are Nonnormal and Heteroscedastic

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