Classical and Bayesian inference of GPW distribution based on record values : estimation and prediction
Author
Source
al-Azhar Scientific Journal of the Commercial Faculties
Issue
Vol. 2021, Issue 25 (31 Jan. 2021), pp.24-44, 21 p.
Publisher
al-Azhar University Faculty of Commerce-Boys
Publication Date
2021-01-31
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Topics
Abstract EN
In this paper, the classical and Bayesian estimation of the parameters of generalized power Weibull distribution based on record values are discussed.
Lindley approximation is used to obtain explicit forms of Bayes estimators.
Also, the classical and Bayesian predictions of the future record values from generalized power Weibull distribution are discussed.
A real dataset and the simulation study are presented for illustration purposes.
American Psychological Association (APA)
Salim, Mahmud Ali. 2021. Classical and Bayesian inference of GPW distribution based on record values : estimation and prediction. al-Azhar Scientific Journal of the Commercial Faculties،Vol. 2021, no. 25, pp.24-44.
https://search.emarefa.net/detail/BIM-1421124
Modern Language Association (MLA)
Salim, Mahmud Ali. Classical and Bayesian inference of GPW distribution based on record values : estimation and prediction. al-Azhar Scientific Journal of the Commercial Faculties No. 25 (Jan. 2021), pp.24-44.
https://search.emarefa.net/detail/BIM-1421124
American Medical Association (AMA)
Salim, Mahmud Ali. Classical and Bayesian inference of GPW distribution based on record values : estimation and prediction. al-Azhar Scientific Journal of the Commercial Faculties. 2021. Vol. 2021, no. 25, pp.24-44.
https://search.emarefa.net/detail/BIM-1421124
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1421124