BRIEF REPORT: THE EQUIVALENCE OF TWO MULTIVARIATE CLASSlFICATION SCHEMES

The equivalence of two multivariate classification schemes is shown when the sizes of the samples drawn from the populations to which assignment is required are identical. One scheme is based on posterior probabilities determined from a Bayesian density function; the second scheme is based on likelihood ratio discriminated scores. Both of these procedures involve prior probabilities; if estimates of these priors are obtained from the identical sample sizes, the equivalence follows.