id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
iajs-3099	Al-obedy, Jinan A. Naser	Bayesian Approach for estimating the unknown Scale parameter of Erlang Distribution Based on General Entropy Loss Function	2023	18	.pdf	application/pdf	7528	288	64	A Bayesian estimators are discussed in this study for unknown scale parameter  when shape Parameter η is known for 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 unknown scale parameter  which are the inverse exponential distribution, the inverse chi-square distribution, the inverse Gamma distribution and the standard Levy distribution as prior .We depend on general entropy loss function (GELF) to derive Bayes estimators for  . We compared the behavior of the Bayes estimates of scale parameter  for the Erlang distribution according to their mean square error (MSE) which has been computed as ) (46 )- )r ( ( 5000 1 MSE 2 ^5000 1r    under different informative priors for unknown scale parameter based on General entropy loss function .	cache/iajs-3099.pdf	txt/iajs-3099.txt