The comparison between standard Bayes estimators of the reliability function of exponential distribution

In this paper, a Monte Carlo Simulation technique is used to compare the performance of the standard Bayes estimators of the reliability function of the one parameter exponential distribution .Three types of loss functions are adopted, namely, squared error loss function (SELF) ,Precautionary error...

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Published in:Ibn Al-Haitham Journal for Pure and Applied Sciences Vol. 31; no. 3; pp. 135 - 142
Main Authors: Ali, Muhammad Jamil, Gurgis, Hazim Mansur, Husayn, Adil Abd al-Azim
Format: Journal Article
Language:English
Published: Baghdad, Iraq University of Baghdad, College of Education for Pure Science / Ibn al-Haitham 18-11-2018
University of Baghdad
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Abstract In this paper, a Monte Carlo Simulation technique is used to compare the performance of the standard Bayes estimators of the reliability function of the one parameter exponential distribution .Three types of loss functions are adopted, namely, squared error loss function (SELF) ,Precautionary error loss function (PELF) and linear exponential error loss function (LINEX) with informative and non- informative prior .The criterion integrated mean square error (IMSE) is employed to assess the performance of such estimators.
AbstractList In this paper, a Monte Carlo Simulation technique is used to compare the performance of the standard Bayes estimators of the reliability function of the one parameter exponential distribution .Three types of loss functions are adopted, namely, squared error loss function (SELF) ,Precautionary error loss function (PELF) and linear exponential error loss function (LINEX) with informative and non- informative prior .The criterion integrated mean square error (IMSE) is employed to assess the performance of such estimators.
   In this paper, a Monte Carlo Simulation technique is used to compare the performance of the standard Bayes estimators of the reliability function of the one parameter exponential distribution .Three types of loss functions are adopted, namely, squared error  loss function (SELF) ,Precautionary error loss function (PELF) andlinear exponential error  loss function(LINEX) with informative and non- informative prior .The criterion integrated mean square error (IMSE) is employed to assess the performance of such estimators
Author Husayn, Adil Abd al-Azim
Gurgis, Hazim Mansur
Ali, Muhammad Jamil
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Snippet In this paper, a Monte Carlo Simulation technique is used to compare the performance of the standard Bayes estimators of the reliability function of the one...
   In this paper, a Monte Carlo Simulation technique is used to compare the performance of the standard Bayes estimators of the reliability function of the one...
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SubjectTerms standard Bayes estimator, loss function, IMSE
Title The comparison between standard Bayes estimators of the reliability function of exponential distribution
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