TITLE:
Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics
AUTHORS:
Abd EL-Baset A. Ahmad, Areej M. AL-Zaydi
KEYWORDS:
Generalized Order Statistics; Bayes Estimation; Heterogeneous Population; Monte Carlo Integration; Monte Carlo Simulation
JOURNAL NAME:
Open Journal of Statistics,
Vol.3 No.4,
August
16,
2013
ABSTRACT: 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.