Bayesian Approach for estimating the unknown Scale parameter of Erlang Distribution Based on General Entropy Loss Function

Bayesian Approach for estimating the unknown Scale parameter of Erlang Distribution Based on General Entropy Loss Function

We are used Bayes estimators for unknown scale parameter  when shape Parameter  is known of Erlang distribution. Assuming different informative priors for unknown scale  parameter. We derived The posterior density with posterior mean and posterior variance using different informative priors for unk...

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Bibliographic Details
Main Author: Jinan A. Naser Al-obedy
Format: Article
Language:English
Published: University of Baghdad 2023-07-01
Series:Ibn Al-Haitham Journal for Pure and Applied Sciences
Subjects:
The Erlang distribution, Bayes estimation, The posterior density, Posterior mean, Posterior variance, GELF, MSE.
Online Access:https://jih.uobaghdad.edu.iq/index.php/j/article/view/3099

Internet

https://jih.uobaghdad.edu.iq/index.php/j/article/view/3099

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