DISCRIMINANT COORDINATES ANALYSIS IN THE CASE OF MULTIVARIATE REPEATED MEASURES DATA

Krzyśko Miroslaw (), Łukaszonek Ojciech () and Wolynski Waldemar ()
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Krzyśko Miroslaw: Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Mickiewicz, ; Poland
Łukaszonek Ojciech: Faculty of Management, President Stanislaw Wojciechowski Higher Vocational State School, Poland
Wolynski Waldemar: Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Mickiewicz, ; Poland

Statistics in Transition New Series, 2018, vol. 19, issue 3, 495-506

Abstract: The main aim of the paper is to adapt the classical discriminant coordinates analysis to multivariate repeated measures data. The proposed solution is based on the relationship between the discriminant coordinates and canonical variables. The quality of these new discriminant coordinates is examined on some real data.

Keywords: discriminant coordinates analysis; repeated measures data (doubly multivariate data); Kronecker product covariance structure; maximum likelihood estimates. (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:19:y:2018:i:3:p:495-506:n:3

DOI: 10.21307/stattrans-2018-027

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