M estimators based on the probability integral transformation with applications to count data

Abstract

M estimators based on the probability integral transformation for discrete distributions are introduced and their asymptotic properties are proved. The proposed estimators are applied to count data in a simulation study and in a real data set of hospital lengths of stay.