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Comparison Of The Bayesian Estimators For The Gamma Distribution Under Different Loss Functions | ||
| Journal of College of Education | ||
| Article 1, Volume 0, Issue 1, 2017, Pages 343-356 | ||
| Author | ||
| Siba Zaki Ismail Mohammad | ||
| Abstract | ||
| This paper is concerned with the comparison of some Bayes' estimators for the scale parameter of the two parameters Gamma distribution , by applying the Bayes' estimators under different loss functions , using Jeffrey prior information . The comparison was based on a Monte Carlo study . Through the simulation study comparison was made on the performance of these estimators with respect to the mean square error (MSE) and mean absolute percentage error (MAPE) , and reach to that the best estimator is (The Bayes Estimator With The Modified Linear Exponential Loss Function) (M.LINEX) , for all models and all assumption samples sizes . | ||
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