摘要：In this article we propose further extension of the generalized Marshall-Olkin-G (GMO -G ) family of distribution. The density and survival functions areexpressed as infinite mixture of the GMO -G distribution. Asymptotes, Rényientropy, order statistics, probability weighted moments, moment generating function,quantile function, median, random sample generation and parameter estimation areinvestigated. Selected distributions from the proposed family are compared with thosefrom four sub models of the family as well as with some other recently proposedmodels by considering real life data fitting applications. In all cases the distributionsfrom the proposed family out on top.
关键词：Kw-G family; MO-G family; AIC; KS test; LR test.
