Vol: 40 Page: 117

Authors:
Mirosław Krzyśko
Wiesław Mądry
Stanisław Pluta
Michał Skorzybut
Waldemar Wołyński

Title:
 Analysis of multivariate repeated measures data

Language: English

Keywords:
classifiers
repeated measures data (doubly multivariate data)
Kronecker product covariance structure
a mixed MANOVA model

Summary:
This paper proposes new classifiers under the assumption of multivariate normality for multivariate repeated measures data (doubly multivariate data) with Kronecker product covariance structures. These classifiers are especially useful when the number of observations is not large enough to estimate the covariance matrices, and thus the traditional classifiers fail. Analysis of these data using a MANOVA model is also considered. The quality of these multivariate statistical methods is examined on some real data.

Display