Classification Rules for Multivariate Repeated Measures Data with Equicorrelated Correlation Structure on both Time and Spatial Repeated Measurements

Anuradha Roy and Ricardo Leiva
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Anuradha Roy: The University of Texas at San Antonio
Ricardo Leiva: Universidad Nacional de Cuyo

No 90, Working Papers from College of Business, University of Texas at San Antonio

Abstract: We study the problem of classi¯cation for multivariate repeated measures data with struc- tured correlations on both time and spatial repeated measurements. This is a very important problem in many biomedical as well as in engineering ¯eld. Classi¯cation rules as well as the algorithm to compute the maximum likelihood estimates of the required parameters are given.

Keywords: Kronecker product covariance structure; Repeated observations; Maximum Likeli- hood Estimates. (search for similar items in EconPapers)
JEL-codes: C10 C13 (search for similar items in EconPapers)
Pages: 9 pages
Date: 2009-06-23
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