Approximate Bayes estimators applied to the Bilal model
(2017). Approximate Bayes estimators applied to the Bilal model. EKB Journal Management System, 25(1), 65-70. doi: 10.1016/j.joems.2016.05.001
. "Approximate Bayes estimators applied to the Bilal model". EKB Journal Management System, 25, 1, 2017, 65-70. doi: 10.1016/j.joems.2016.05.001
(2017). 'Approximate Bayes estimators applied to the Bilal model', EKB Journal Management System, 25(1), pp. 65-70. doi: 10.1016/j.joems.2016.05.001
Approximate Bayes estimators applied to the Bilal model. EKB Journal Management System, 2017; 25(1): 65-70. doi: 10.1016/j.joems.2016.05.001

Approximate Bayes estimators applied to the Bilal model

Journal of the Egyptian Mathematical Society
Volume 25, Issue 1, 2017, Page 65-70  XML PDF (347.29 K)
DOI: 10.1016/j.joems.2016.05.001
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Abstract
This paper develops approximate Bayes estimators of the parameter of the Bilal failure model by using the
method of Tierney and Kadane [Accurate approximations for posterior moments and marginal densities, J.
Amer. Statist. Assoc. 81 (1986) 82–86.] based on Type-2 censored sample and four different loss functions.
Existence and uniqueness theorem for the maximum likelihood estimate are established. Based on Monte
Carlo simulation study, comparisons are made between those estimators and their corresponding Bayes
estimators obtained by using Gibb’s sampling approach.
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