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2014 | 51 | 2 | 103-114
Tytuł artykułu

Analysis of multivariate repeated measures data using a MANOVA model and principal components

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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.
Opis fizyczny
  • Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznan, Poland
  • Plant Breeding and Acclimatization Institute, National Research Institute, Radzików, 05-870 Błonie, Poland
  • Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznan, Poland
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