Estimation of the Reliability Function of Basic Gompertz Distribution under Different Priors

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Manahel Kh. Awad Huda A. Rasheed

Abstract

In this paper, some estimators for the reliability function R(t) of Basic Gompertz (BG) distribution have been obtained, such as Maximum likelihood estimator, and Bayesian estimators under General Entropy loss function by assuming non-informative prior by using Jefferys prior and informative prior represented by Gamma and inverted Levy priors. Monte-Carlo simulation is conducted to compare the performance of all estimates of the R(t), based on integrated mean squared.

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How to Cite
AWAD, Manahel Kh.; RASHEED, Huda A.. Estimation of the Reliability Function of Basic Gompertz Distribution under Different Priors. Ibn AL- Haitham Journal For Pure and Applied Science, [S.l.], v. 33, n. 3, p. 167-174, july 2020. ISSN 2521-3407. Available at: <http://jih.uobaghdad.edu.iq/index.php/j/article/view/2482>. Date accessed: 25 sep. 2020.
Section
mathematics