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Bayesian inference on the generalized gamma distribution using conjugate priors
Joint Authors
al-Misri, Hanin
Rifi, Muhammad I.
Source
IUG Journal of Natural Studies
Issue
Vol. 28, Issue 2 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
The Islamic University-Gaza Deanship of Research and Graduate Affairs
Publication Date
2020-12-31
Country of Publication
Palestine (Gaza Strip)
No. of Pages
18
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
This paper focuses on the three-parameter generalized gamma distribution and uses Bayesian techniques to estimate its parameters.
Many authors con-sidered estimating the parameters of the generalized gamma distribution in a Bayesian framework using Jeffrey’s priors.
Others used different loss functions and the least squares approach.
This study uses Bayesian techniques to estimate the three-parameter generalized gamma distribution by using conjugate priors.
The random Metropolis algorithm is used to simulate the Bayesian estimates of the three parameters.
Then these estimates are compared to the maximum like-lihood estimates using the mean error through simulation.
It has been shown in this paper that the obtained estimates using this approach is more accurate than the traditional methods of estimation such as the Maximum likelihood method.
The same approach is then used to estimate the parameters of mixtures of the generalized gamma parameters using conjugate priors.
American Psychological Association (APA)
Rifi, Muhammad I.& al-Misri, Hanin. 2020. Bayesian inference on the generalized gamma distribution using conjugate priors. IUG Journal of Natural Studies،Vol. 28, no. 2, pp.1-18.
https://search.emarefa.net/detail/BIM-1380583
Modern Language Association (MLA)
Rifi, Muhammad I.& al-Misri, Hanin. Bayesian inference on the generalized gamma distribution using conjugate priors. IUG Journal of Natural Studies Vol. 28, no. 2 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1380583
American Medical Association (AMA)
Rifi, Muhammad I.& al-Misri, Hanin. Bayesian inference on the generalized gamma distribution using conjugate priors. IUG Journal of Natural Studies. 2020. Vol. 28, no. 2, pp.1-18.
https://search.emarefa.net/detail/BIM-1380583
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 16-18
Record ID
BIM-1380583