文章基本信息

标题：Robust Measures of Variable Importance for Multivariate Group Designs
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作者：Sajobi, Tolulope T. ; Lix, Lisa M.
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2017
卷号：16
期号：2
页码：6
出版社：Wayne State University
摘要：Variable importance measures based on discriminant analysis and multivariate analysis of variance are useful for identifying variables that discriminate between two groups in multivariate group designs. Variable importance measures are developed based on trimmed and Winsorized estimators for describing group differences in multivariate non-normal populations.
关键词：variable importance; discriminant analysis; multivariate analysis of variance; trimmed estimators; assumption violations