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Bayes Estimations for Parameters of the Inverted Kumarswamy Distribution with Progressive Censoring Scheme |
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PP: 283-291 |
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doi:10.18576/amis/180208
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Author(s) |
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M. Yusuf,
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Abstract |
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| In this paper we develop approximate Bayes estimators of the unknown parameters of the inverted Kumarswamy distribution based on progressive type-II censoring samples. We consider the maximum likelihood and Bayesian estimations of the model with gamma-informative prior distribution for the parameters, as well as the reliability function and reversed hazard rate function. We applied, Lindleys approximation (1980) and Markov Chain Monte Carlo (MCMC) methods. The Bayes estimators have been obtained relative to both symmetric and asymmetric (linex and general entropy) loss functions. Finally, to assess the performance of the proposed estimators, some numerical results with simulation study were reported. |
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