文章基本信息

标题：Generalized Variances Ratio Test for Comparing k Covariance Matrices from Dependent Normal Populations
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作者：Cirillo, Marcelo Angelo ; Ferreira, Daniel Furtado ; Sáfadi, Thelma 等
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2010
卷号：9
期号：2
页码：6
出版社：Wayne State University
摘要：New tests based on the ratio of generalized variances are presented to compare covariance matrices from dependent normal populations. Monte Carlo simulation concluded that the tests considered controlled the Type I error, providing empirical probabilities that were consistent with the nominal level stipulated.
关键词：Dependent normal; bootstrap; variances generalized; power; type I error