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Bayesian Estimation of the Scale Parameter of Inverse Weibull Distribution under the Asymmetric Loss Functions
Joint Authors
Babanezhad, Manoochehr
Moghadam, Omid S.
Yahgmaei, Farhad
Source
Journal of Probability and Statistics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper proposes different methods of estimating the scale parameter in the inverse Weibull distribution (IWD).
Specifically, the maximum likelihood estimator of the scale parameter in IWD is introduced.
We then derived the Bayes estimators for the scale parameter in IWD by considering quasi, gamma, and uniform priors distributions under the square error, entropy, and precautionary loss functions.
Finally, the different proposed estimators have been compared by the extensive simulation studies in corresponding the mean square errors and the evolution of risk functions.
American Psychological Association (APA)
Yahgmaei, Farhad& Babanezhad, Manoochehr& Moghadam, Omid S.. 2013. Bayesian Estimation of the Scale Parameter of Inverse Weibull Distribution under the Asymmetric Loss Functions. Journal of Probability and Statistics،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-505780
Modern Language Association (MLA)
Yahgmaei, Farhad…[et al.]. Bayesian Estimation of the Scale Parameter of Inverse Weibull Distribution under the Asymmetric Loss Functions. Journal of Probability and Statistics No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-505780
American Medical Association (AMA)
Yahgmaei, Farhad& Babanezhad, Manoochehr& Moghadam, Omid S.. Bayesian Estimation of the Scale Parameter of Inverse Weibull Distribution under the Asymmetric Loss Functions. Journal of Probability and Statistics. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-505780
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505780