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E. K. AL-Hussaini and R. A. AL-Jarallah, “Bayes Inference under a Finite Mixture of Two Compound Gompertz Components Model,” Cairo University, 2006.

has been cited by the following article:

• 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.