The Comparison Between the Bayes Estimator and the Maximum Likelihood Estimator of the Reliability Function for Negative Exponential Distribution

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Hazim Mansour Gorgees
Bushra Abdualrasool Ali
Raghad Ibrahim Kathum

Abstract

     In this paper, the maximum likelihood estimator and the Bayes estimator of the reliability function for negative exponential distribution has been derived, then a Monte –Carlo simulation technique was employed to compare the performance of such estimators. The integral mean square error (IMSE) was used as a criterion for this comparison. The simulation results displayed that the Bayes estimator performed better than the maximum likelihood estimator for different samples sizes.

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How to Cite
Gorgees, H. M., Ali, B. A., & Kathum, R. I. (2018). The Comparison Between the Bayes Estimator and the Maximum Likelihood Estimator of the Reliability Function for Negative Exponential Distribution. Ibn AL- Haitham Journal For Pure and Applied Sciences, 2017(IHSCICONF), 420–425. https://doi.org/10.30526/2017.IHSCICONF.1815
Section
mathematics