Dimension Reduction with Linear Discrimant Functions Based on an Odds Ratio Parameterization

The association of two random elements with positive joint probability density function is given by an odds ratio function. The covariance is an adequate description only in the case of two jointly Gaussian variables. The impact of the association structure on the set-up and solution of problems of...

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Veröffentlicht in:	International statistical review 2003-12, Vol.71 (3), p.629-666
1. Verfasser:	van der Linde, Angelika
Format:	Artikel
Sprache:	eng
Schlagworte:	Covariance Covariance matrices Discriminants Eigenvectors Gaussian distributions Linear discriminant analysis Mathematical vectors Modeling Probabilities Regression analysis
Online-Zugang:	Volltext
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