Identifiability for mixtures of distributions from a location-scale family with uniforms

Abstract

In this paper we study the indentifiability of a class of mixture models where a finite number of one-dimensional location scale distributions is mixed with a finite number of uniform distributions on an interval. We define identifiability and we show that, under certain conditions, the afore-mentioned class of distributions is identifiable.