ABSTRACT
The fi nal set of models we discuss are collectively called discriminant analysis. We concentrate our attention on three parameterizations: Dichotomous discriminant analysis based on ordinary least squares, and two maximum likelihood applications commonly referred to as canonical linear discriminant analysis and linear logistic discriminant analysis. All three discriminant analysis models employ a logistic distribution to determine the probability of observations being in a particular response group or level.
