Bayesian estimation for two parameters of weibull distribution under generalized weighted loss function
Joint Authors
Rashid, Huda A.
Khadim, Ibtisam J.
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 34, Issue 4 (31 Aug. 2021), pp.116-129, 14 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2021-08-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Topics
Abstract EN
In this paper, Bayes estimators for the shape and scale parameters of Weibull distribution have been obtained using the generalized weighted loss function, based on Exponential priors.
Lindley's approximation has been used effectively in Bayesian estimation.
Based on theMonte Carlo simulation method, those estimators are compared depending on the mean squared errors In this paper, Bayes estimators for the shape and scale parameters of Weibull distribution have been obtained using the generalized weighted loss function, based on Exponential priors.
Lindley's approximation has been used effectively in Bayesian estimation.
Based on theMonte Carlo simulation method, those estimators are compared depending on the mean squared errors (MSE's).
American Psychological Association (APA)
Khadim, Ibtisam J.& Rashid, Huda A.. 2021. Bayesian estimation for two parameters of weibull distribution under generalized weighted loss function. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 34, no. 4, pp.116-129.
https://search.emarefa.net/detail/BIM-1281386
Modern Language Association (MLA)
Khadim, Ibtisam J.& Rashid, Huda A.. Bayesian estimation for two parameters of weibull distribution under generalized weighted loss function. Ibn al-Haitham Journal for Pure and Applied Science Vol. 34, no. 4 (2021), pp.116-129.
https://search.emarefa.net/detail/BIM-1281386
American Medical Association (AMA)
Khadim, Ibtisam J.& Rashid, Huda A.. Bayesian estimation for two parameters of weibull distribution under generalized weighted loss function. Ibn al-Haitham Journal for Pure and Applied Science. 2021. Vol. 34, no. 4, pp.116-129.
https://search.emarefa.net/detail/BIM-1281386
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 128-129
Record ID
BIM-1281386
