文章基本信息

标题：Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics
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作者：Abd EL-Baset A. Ahmad ; Areej M. AL-Zaydi
期刊名称：Open Journal of Statistics
印刷版ISSN：2161-718X
电子版ISSN：2161-7198
出版年度：2013
卷号：3
期号：4
页码：231-244
DOI：10.4236/ojs.2013.34027
出版社：Scientific Research Publishing
摘要：The main purpose of this paper is to obtain estimates of parameters, reliability and hazard rate functions of a heterogeneous population represented by finite mixture of two general components. The doubly Type II censoring of generalized order statistics scheme is used. Maximum likelihood and Bayes methods of estimation are used for this purpose. The two methods of estimation are compared via a Monte Carlo Simulation study.
关键词：Generalized Order Statistics; Bayes Estimation; Heterogeneous Population; Monte Carlo Integration; Monte Carlo Simulation