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

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Krzysko M., Smiałowski T., Wołynski W.

Biometrical Letters

2014

tom 51

nr 2

103-114

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.

Ograniczanie wyników

1 Biometrical Letters

1 Krzysko M.

1 Smiałowski T.

1 Wołynski W.

1 2014

Wyniki wyszukiwania

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