Analysis of multivariate repeated measures data using a MANOVA model and principal components
Mirosław Krzysko; Tadeusz Smiałowski; Waldemar Wołynski
Biometrical Letters (2014)
- Volume: 51, Issue: 2, page 103-114
- ISSN: 1896-3811
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topMirosław Krzysko, Tadeusz Smiałowski, and Waldemar Wołynski. "Analysis of multivariate repeated measures data using a MANOVA model and principal components." Biometrical Letters 51.2 (2014): 103-114. <http://eudml.org/doc/268881>.
@article{MirosławKrzysko2014,
abstract = {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.},
author = {Mirosław Krzysko, Tadeusz Smiałowski, Waldemar Wołynski},
journal = {Biometrical Letters},
keywords = {multivariate repeated measures data (doubly multivariate data); Kronecker product covariance structure; maximum likelihood estimates; mixed MANOVA model; principal component analysis},
language = {eng},
number = {2},
pages = {103-114},
title = {Analysis of multivariate repeated measures data using a MANOVA model and principal components},
url = {http://eudml.org/doc/268881},
volume = {51},
year = {2014},
}
TY - JOUR
AU - Mirosław Krzysko
AU - Tadeusz Smiałowski
AU - Waldemar Wołynski
TI - Analysis of multivariate repeated measures data using a MANOVA model and principal components
JO - Biometrical Letters
PY - 2014
VL - 51
IS - 2
SP - 103
EP - 114
AB - 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.
LA - eng
KW - multivariate repeated measures data (doubly multivariate data); Kronecker product covariance structure; maximum likelihood estimates; mixed MANOVA model; principal component analysis
UR - http://eudml.org/doc/268881
ER -
References
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