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

Mathematics

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