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

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

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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 Pie Press loss function by assuming non-informative prior by using Jefferys prior and informative prior represented by Gamma and inverted Levy Skin Care Tools priors.Monte-Carlo simulation is conducted to compare the performance of all estimates of the R(t), based on integrated mean squared.