The Comparison Between the Bayes Estimator and the Maximum Likelihood Estimator of the Reliability Function for Negative Exponential Distribution
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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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[1]
Gorgees, H.M. et al. 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 (Apr. 2018), 420–425. DOI:https://doi.org/10.30526/2017.IHSCICONF.1815.
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Mathematics
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How to Cite
[1]
Gorgees, H.M. et al. 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 (Apr. 2018), 420–425. DOI:https://doi.org/10.30526/2017.IHSCICONF.1815.