On Characterizing Distributions VIA Regression on Pairs of Generalized Order Statistics

Abstract

We present results that lead to characterization of several distributions in terms of the regression of a (possibly non-linear) function of a generalized order statistic with its adjacent generalized order statistics as covariates through the arithmetic, geometric and harmonic means of the functions at the end points.