Robust Univariate Two‐Way Classification

Abstract We develop a robust classification procedure, based on T IKU'S (1967, 1980, 1982) MML (modified maximum likelihood) estimators, for classifying an observation in one of the two populations π 1 and π 2 and show that this procedure is superior to the classical and nonparametric procedures.