Robustness of Fisher's linear discriminant function is evaluated when the distributions of the two populations are characterized by two-component mixed normal distributions with known parameters. The ...

The distribution of the linear discriminant function W, Anderson's classification statistic (1951), is investigated by several authors: Bowker (1960), Bowker and Sitgreaves (1961), Sitgreaves (1952, ...

The linear-discriminant function is a regression relation that allows an efficient binary classification of a population, each of whose members can be described by a set of variables.

TYPE=LINEAR Data Sets A TYPE=LINEAR data set contains the coefficients of a linear function of the variables in observations with _TYPE_ ='LINEAR'. The DISCRIM procedure stores linear discriminant ...

Canonical discriminant analysis is a dimension-reduction technique related to principal component analysis and canonical correlation. Given a classification variable and several interval variables, ...

Topics covered include simple linear regression, multiple regression, variable selection, model diagnostics, and systems of regression equations. The course also covers classification techniques using ...