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

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.

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The authors declare no conflicts of interest.

Cite this paper

A. Ahmad and A. AL-Zaydi, "Inferences under a Class of Finite Mixture Distributions Based on Generalized Order Statistics,"

*Open Journal of Statistics*, Vol. 3 No. 4, 2013, pp. 231-244. doi: 10.4236/ojs.2013.34027.

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