Selection of Variates for the Two-Group Multinomial Classification Problem

Abstract

A sample-based procedure for selecting an optimal subset of variables for the two-group multinomial classification problem is presented. Based on the work of Glick, we examine two variations of a procedure which looks at differences in discriminant scores as a method for assessing worthiness of various subsets of variables. Two examples illustrate the methods.