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The comparison between standard Bayes estimators of the reliability function of exponential distribution
Joint Authors
Ali, Muhammad Jamil
Gurgis, Hazim Mansur
Husayn, Adil Abd al-Azim
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 31, Issue 3 (31 Dec. 2018), pp.135-142, 8 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ali, Muhammad Jamil& Gurgis, Hazim Mansur& Husayn, Adil Abd al-Azim. 2018. The comparison between standard Bayes estimators of the reliability function of exponential distribution. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 31, no. 3, pp.135-142.
https://search.emarefa.net/detail/BIM-900685
Modern Language Association (MLA)
Ali, Muhammad Jamil…[et al.]. The comparison between standard Bayes estimators of the reliability function of exponential distribution. Ibn al-Haitham Journal for Pure and Applied Science Vol. 31, no. 3 (2018), pp.135-142.
https://search.emarefa.net/detail/BIM-900685
American Medical Association (AMA)
Ali, Muhammad Jamil& Gurgis, Hazim Mansur& Husayn, Adil Abd al-Azim. The comparison between standard Bayes estimators of the reliability function of exponential distribution. Ibn al-Haitham Journal for Pure and Applied Science. 2018. Vol. 31, no. 3, pp.135-142.
https://search.emarefa.net/detail/BIM-900685
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 142
Record ID
BIM-900685