文章基本信息

标题：PROPERTIES AND DATA MODELLING APPLICATIONS OF THE KUMARASWAMY GENERALIZED MARSHALL - OLKIN -G FAMILY OF DISTRIBUTIONS
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作者：Subrata Chakraborty ; Laba Handique
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2018
卷号：16
期号：3
页码：605-620
DOI：10.6339/JDS.201807_16(3).0009
出版社：Tingmao Publish Company
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.