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Discrimination and Classification with Repeated Measures Data
by
Ravindra Khattree
Oakland University
Coauthors: Anuradha Roy (University of Texas, San Antonio)
We study the problem of classification with multiple q-variate repeated measures on each individual. Classification rules for this situation are developed by introducing certain covariance structures. Further, the problem is studies when the population means may also have some structures. Findings are applied and illustrated on real as well as simulated data sets.
Date received: October 8, 2002
Copyright © 2002 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cais-39.