An extension of geisser's discrimination model to proportional covariance matrices

DOI10.2307/3556192zbMath0539.62068OpenAlexW2091132534MaRDI QIDQ3326638

E. Liefde Raath, Douglas M. Hawkins

Publication date: 1982

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3556192

zbMATH Keywords

heteroscedasticityBayesianproportional covariance matricespredictive discriminationextension of Geisser's discrimination model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Testing proportionality of two large-dimensional covariance matrices

Cites Work

• Unnamed Item
• Classification into two Multivariate Normal Distributions with Different Covariance Matrices
• A Closer Look at Two Alternative Methods of Statistical Discrimination
• Discriminant Functions When Covariance Matrices are Unequal
• The Performance of Fisher's Linear Discriminant Function under Non-Optimal Conditions
• A comparison of the estimative and predictive methods of estimating posterior probabilities
• Robustness of the linear and quadratic discriminant function to certain types of non‐normality

This page was built for publication: An extension of geisser's discrimination model to proportional covariance matrices