title: A Measure Of Separability And Random Zeros In Statistical Classification.
abstract: The setting for this study is the two-group multinomial classification problem. Based on a measure of the log odds in favor of one particular group, a large sample confidence interval for a measure of separability is derived. The asymptotic result employed assumes that all states have positive observed frequencies. Realizing that this assumption is often violated, we consider a method based upon log-linear representation of state frequencies to first remove any random zeros before attempting to effect a classification. The method is illustrated in a data set dealing with the behavioral consequences following hypoxic trauma.
authors.forename: M
authors.initials: M
authors.lastname: Goldstein
authors.forename: W R
authors.initials: WR
authors.lastname: Dillon