The Comparison Between the MLE and Standard Bayes Estimators of the Reliability Function of Exponential Distribution

Mohammed Jamel Ali; Hazim Mansoor Gorgees

doi:10.30526/32.1.1885

Article Details

The Comparison Between the MLE and Standard Bayes Estimators of the Reliability Function of Exponential Distribution

Authors:

Mohammed Jamel Ali | Hazim Mansoor Gorgees

Publisher:

University of Baghdad

Journal:

Ibn AL-Haitham Journal For Pure and Applied Sciences Vol.32 Issue 1, pp.101-109

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001377670

pISSN:

2521-3407

DOI:

10.30526/32.1.1885

Keywords:

Abstract:

 In this paper, a Monte Carlo Simulation technique is used to compare the performance of MLE and the standard Bayes estimators of the reliability function of the one parameter exponential distribution.Two types of loss functions are adopted, namely, squared error  loss function (SELF) and modified square error loss function (MSELF) with informative and non- informative prior. The criterion integrated mean square error (IMSE) is employed to assess the performance of such estimators .

Article Details

The Comparison Between the MLE and Standard Bayes Estimators of the Reliability Function of Exponential Distribution

Authors: Mohammed Jamel Ali | Hazim Mansoor Gorgees

Publisher: University of Baghdad

Journal: Ibn AL-Haitham Journal For Pure and Applied Sciences Vol.32 Issue 1, pp.101-109

Document Type: Article

Publication Date: 1/2019

Document Language: English

Document ID (Org No.): 2001377670

pISSN: 2521-3407

DOI: 10.30526/32.1.1885

MLE

standard Bayes estimator

loss function

IMSE

Issues

Authors:

Mohammed Jamel Ali | Hazim Mansoor Gorgees

Publisher:

University of Baghdad

Journal:

Ibn AL-Haitham Journal For Pure and Applied Sciences Vol.32 Issue 1, pp.101-109

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001377670

pISSN:

2521-3407

DOI:

10.30526/32.1.1885