Tests for Treatment Group Equality When Data are Nonnormal and Heteroscedastic

被引：32

作者：

Cribbie, Robert A. ^{[1
]}

Wilcox, Rand R. ^{[2
]}

Bewell, Carmen ^{[3
]}

Keselman, H. J. ^{[4
]}

机构：

[1] York Univ, Dept Psychol, Psychol, Toronto, ON M3J 1P3, Canada

[2] Univ Southern Calif, Dept Psychol, Psychol, Los Angeles, CA USA

[3] York Univ, Clin Psychol, N York, ON, Canada

[4] Univ Manitoba, Dept Psychol, Psychol, Winnipeg, MB, Canada

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2007年 / 6卷 / 01期

关键词：

Welch test on ranks; nonparametric statistics; nonnormality; heteroscedasticity; mean equality;

D O I：

10.22237/jmasm/1177992660

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：117 / 132

页数：16

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