标题：Discriminant Analysis for Repeated Measures Data: Effects of Mean and Covariance Misspecification on Bias and Error in Discriminant Function Coefficients
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2011
卷号：10
期号：2
页码：15
出版社：Wayne State University
摘要：Discriminant analysis (DA) procedures based on parsimonious mean and/or covariance structures have been proposed for repeated measures (RM) data. Bias and means square error of discriminant function coefficients (DFCs) for DA procedures are investigated when the mean and/or covariance structures are correctly specified and misspecified.
关键词：Multivariate; model misspecification; discriminant function coefficient; mean square error; bias
