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Classification Rules for Multivariate Repeated Measures Data with Equicorrelated Correlation Structure on Both Time and Spatial Repeated Measurements
Authors:Anuradha Roy  Ricardo Leiva
Institution:1. Department of Management Science and Statistics , The University of Texas at San Antonio , San Antonio , Texas , USA aroy@utsa.edu;3. Departamento de Matemática, F.C.E. , Universidad Nacional de Cuyo , Mendoza , Argentina
Abstract:We study the problem of classification for multivariate repeated measures data with structured correlations on both time and spatial repeated measurements. This is a very important problem in many biomedical as well as in engineering field. Classification rules as well as the algorithm to compute the maximum likelihood estimates of the required parameters are given.
Keywords:Covariance structure  Maximum likelihood estimates  Repeated observations
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