Discussion

Abstract

We show that it is helpful to generalize Vardi's problem, estimating an unknown distribution from selection-biased samples, by allowing the sample sizes to be random. The problem then assumes an elegant symmetry, leading to a transparent demonstration of the convergence of Vardi's algorithm.