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A Macro for Two Population Nonparametric Univariate Discriminant Analysis with Extentions to Higher Dimensional Spaces

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Abstract

Discriminant analysis is a widely used technIque. particularly in distinguishing between normal and diseased individuals. If the distributions of tne populations are normal, procedure DISCRIM can be used. For data that is not normal, the SAS user is limitad to procedure NEIGHBOR or one of several user-contributed logistic discrimination procedures. There are, however, many methodologies in addition to logistic or nearest neighbor methods for discriminant analysis. Unfortunately, none are readily available in 5AS.

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