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 |
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Main Authors: | , , |
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 |
Subjects: | |
Online Access: | Get full text |
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Summary: | 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. |
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ISSN: | 1609-4042 2521-3407 |
DOI: | 10.30526/31.3.2006 |