文章基本信息

标题：The robustness of two sample tests for means – a reply on von Eye’s comment
本地全文：下载
作者：V. GUIARD, D. RASCH
期刊名称：Psychology Science
印刷版ISSN：1614-9947
出版年度：2004
卷号：46
期号：04
出版社：Pabst Science Publishers
摘要：The question, which test; the t-test or the Wilcoxon test for comparing means of two distributions has to be preferred must be answered by “the t-test”. Both tests are robust against non-normality with a little advantage for the Wilcoxon test what the power concerns. But while the t-test is robust against variance heterogeneity or against discrete underlying distributions the Wilcoxon test is not. Both tests fail in robustness if observations within the samples are dependent. Such a situation should be avoided by carefully designing surveys and experiments.
关键词：robustness, non-normality, variance heterogeneity, discrete distributions, autocorrelation, t-test, Wilcoxon test