Discriminant coordinates analysis  in the case of multivariate repeated data

Mirosław  Krzyśko; Wojciech  Łukaszonek; Waldemar  Wołyński

doi:https://doi.org/10.21307/stattrans-2018-027

Discriminant coordinates analysis in the case of multivariate repeated data

Mirosław Krzyśko Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland. Faculty of Management, President Stanisław Wojciechowski Higher Vocational State School, Poland , Wojciech Łukaszonek Faculty of Management, President Stanisław Wojciechowski Higher Vocational State School, Poland. , Waldemar Wołyński Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland. Statistics in Transition new series, vol. 19, 2018, 3, pages: 495-506 Published online: 3 September 2018 https://doi.org/10.21307/stattrans-2018-027

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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

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