Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics  

作　　者：Abd EL-Baset A. Ahmad Areej M. AL-Zaydi 

机构地区：[1]Department of Mathematics, Assiut University, Assiut, Egypt [2]Department of Mathematics, Taif University, Taif, KSA

出　　处：《Open Journal of Statistics》2013年第4期231-244,共14页统计学期刊（英文）

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.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 

分 类 号：O21[理学—概率论与数理统计]