- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Comparison of Bayes Estimators for Parameter and Reliability Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss Function | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 28, Issue 2, 2017, Pages 152-158 | ||
| Author | ||
| Huda A. Rasheed | ||
| Abstract | ||
| In the current study, we have been derived some Basyian estimators for the parameter and reliability function of the inverse Rayleigh distribution under Generalized squared error loss function. In order to get the best understanding of the behavior of Bayesian analysis, we consider noninformative prior for the scale parameter using Jefferys prior Information as well as informative prior density represented by Gamma distribution. Monte-Carlo simulation have been employed to compare the behavior of different estimates for the scale parameter and reliability function of inverse Rayleigh distribution based on mean squared errors and Integrated mean squared errors, respectively. In the current study, we observed that more occurrence of Bayesian estimate using Generalized squared error loss function using Gamma prior is better than other estimates for all cases. | ||
|
Statistics Article View: 97 PDF Download: 17 |
||