Bayesian Inference for the Parameter and Reliability Function of Basic Gompertz Distribution under Precautionary loss Function

Bayesian Inference for the Parameter and Reliability Function of Basic Gompertz Distribution under Precautionary loss Function

     In this paper, some estimators for the unknown shape parameter and reliability function of Basic Gompertz distribution have been obtained, such as Maximum likelihood estimator and Bayesian estimators under Precautionary loss function using Gamma prior and Jefferys prior. Monte-Carlo simulation...

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Bibliographic Details
Main Authors: Manahel Kh. Awad, Huda A. Rasheed
Format: Article
Language:English
Published: University of Baghdad 2020-04-01
Series:Ibn Al-Haitham Journal for Pure and Applied Sciences
Subjects:
Basic Gompertz distribution, Maximum likelihood estimator, Bayes estimator, Precautionary loss function, Mean squared errors.
Online Access:https://jih.uobaghdad.edu.iq/index.php/j/article/view/2435

Internet

https://jih.uobaghdad.edu.iq/index.php/j/article/view/2435

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