Classification rules for multivariate repeated measures data with equicorrelated correlation structure on both time and spatial repeated measurements

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.