Discriminant Analysis for Repeated Measures Data: Effects of Mean and Covariance Misspecification on Bias and Error in Discriminant Function Coefficients

Authors

Tolulope T. Sajobi, University of SaskatchewanFollow
Lisa M. Lix, University of SaskatchewanFollow
Longhai Li, University of SaskatchewanFollow
William Laverty, University of SaskatchewanFollow

Abstract

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.

DOI

10.22237/jmasm/1320120840