In this paper we consider a set of T repeated measurements on p characteristics on each of n individuals. The n individuals themselves may be divided and randomly assigned to K groups. These data are analyzed using a mixed effect MANOVA model, assuming that the data on an individual have a covariance matrix which is a Kronecker product of two positive definite matrices. Results are illustrated on a data set obtained from experiments with varieties of winter rye.
@article{bwmeta1.element.doi-10_2478_bile-2014-0008,
author = {Miros\l aw Krzysko and Tadeusz Smia\l owski and Waldemar Wo\l ynski},
title = {Analysis of multivariate repeated measures data using a MANOVA model and principal components},
journal = {Biometrical Letters},
volume = {51},
year = {2014},
pages = {103-114},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.doi-10_2478_bile-2014-0008}
}
Mirosław Krzysko; Tadeusz Smiałowski; Waldemar Wołynski. Analysis of multivariate repeated measures data using a MANOVA model and principal components. Biometrical Letters, Tome 51 (2014) pp. 103-114. http://gdmltest.u-ga.fr/item/bwmeta1.element.doi-10_2478_bile-2014-0008/
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