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

Tolulope T. Sajobi | Zendy; Lisa M. Lix | Zendy; Longhai Li | Zendy; W. H. Laverty | Zendy

Open Access

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

Author(s) -

Tolulope T. Sajobi,

Lisa M. Lix,

Longhai Li,

W. H. Laverty

Publication year - 2011

Publication title -

journal of modern applied statistical methods

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.169

H-Index - 28

ISSN - 1538-9472

DOI - 10.22237/jmasm/1320120840

Subject(s) - mathematics , discriminant function analysis , linear discriminant analysis , covariance , statistics , discriminant , optimal discriminant analysis , mean squared error , analysis of covariance , covariance function , artificial intelligence , computer science

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.

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