DISCRIMINANT COORDINATES ANALYSIS IN THE CASE OF MULTIVARIATE REPEATED MEASURES DATA
DISCRIMINANT COORDINATES ANALYSIS IN THE CASE OF MULTIVARIATE REPEATED MEASURES DATA
Author(s): Mirosław Krzyśko, Wojciech Łukaszonek, Waldemar WołyńskiSubject(s): Economy
Published by: Główny Urząd Statystyczny
Keywords: discriminant coordinates analysis; repeated measures data (doubly multivariate data); Kronecker product covariance structure; maximum likelihood estimates
Summary/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.
Journal: Statistics in Transition. New Series
- Issue Year: 19/2018
- Issue No: 3
- Page Range: 495-506
- Page Count: 12
- Language: English