期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2006
卷号：5
期号：1
页码：6
出版社：Wayne State University
摘要：A modification to testing pairwise comparisons that may provide better control of Type I errors in the presence of non-normality is to use a preliminary test for symmetry which determines whether data should be trimmed symmetrically or asymmetrically. Several pairwise MCPs were investigated, employing a test of symmetry with a number of heteroscedastic test statistics that used trimmed means and Winsorized variances. Results showed improved Type I error control than competing robust statistics.
关键词：Multiple comparison procedures; trimmed estimators; symmetric and asymmetric trimming; heteroscedastic test statistic; nonnormality; variance heterogeneity
