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Discriminant Analysis

P. A. Lachenbruch and M. Goldstein
Biometrics
Vol. 35, No. 1, Perspectives in Biometry (Mar., 1979), pp. 69-85
DOI: 10.2307/2529937
Stable URL: http://www.jstor.org/stable/2529937
Page Count: 17
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Discriminant Analysis
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Abstract

This paper summarizes work in discriminant analysis. Normal theory and discrete results are discussed. Estimation of error rates and variable selection problems are indicated. Current research problems are considered: robustness, nonparametric rules, contamination, density estimation, mixtures of variables.

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