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Biometrika 1975 62(2):397-401; doi:10.1093/biomet/62.2.397
© 1975 by Biometrika Trust
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Zero-mean difference discrimination and the absolute linear discriminant function

PETER A. LACHENBRUCH *

School of Public Health, University of California Berkeley

A simple model for discriminating equal mean data is to perform a linear discriminant analysis on the absolute value of deviations from the mean. This avoids the necessity of writing a program to calculate s quadratic discriminant function, and it also seems to have some desirable robustness properties when long-tailed contamination is present. The method is applied to the well-known Stocks twins data.

Key Words: Discriminant analysis with equal means • Robustness to contamination • Selection of variables


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