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Bayesian Estimation of Two-Component Mixture of Gumbel Type II Distribution under Informative Priors

초록

영어

In this paper, the Bayesian estimation of the parameters of mixture of two components of Gumbel type II distribution has been considered. A heterogeneous population has been modeled by means of two components mixture of the Gumbel type II distribution under type I censored data. The Bayes estimators of the said parameters have been derived under the assumption of informative priors using different loss functions. A censored mixture data is simulated by probabilistic mixing for the computational purpose. The comparisons among the estimators have been made in terms of corresponding risks.

목차

Abstract
 1. Introduction
 2. The Population and the Model
 3. The Posterior Distributions under Different Informative Priors
 4. Bayes Estimators and Corresponding Risks
 5. Simulation Study
 6. Conclusion
 References

저자정보

  • Navid Feroze Department of Mathematics and Statistics, Allama Iqbal Open University, Islamabad, Pakistan
  • Muhammad Aslam Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan

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