Comparison of Bayes Estimators for Parameter and Relia-bility Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss Function

In the current study, we have been derived some Basyian estimators for the parameter and relia-bility 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 non-informative...

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Main Author: Huda A. Rasheed
Format: Article
Language:Arabic
Published: Al-Mustansiriyah University 2018-04-01
Series:Mustansiriyah Journal of Science
Subjects:
Online Access:http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/512
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author Huda A. Rasheed
author_facet Huda A. Rasheed
author_sort Huda A. Rasheed
collection DOAJ
description In the current study, we have been derived some Basyian estimators for the parameter and relia-bility 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 non-informative 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 in-verse 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
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spelling doaj.art-714edb090c5040b9b86e19bae2335c712022-12-22T03:16:11ZaraAl-Mustansiriyah UniversityMustansiriyah Journal of Science1814-635X2521-35202018-04-0128216216810.23851/mjs.v28i2.512104Comparison of Bayes Estimators for Parameter and Relia-bility Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss FunctionHuda A. Rasheed0Department of Mathmetics, College of Science, Mustansiriyah University, IRAQ.In the current study, we have been derived some Basyian estimators for the parameter and relia-bility 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 non-informative 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 in-verse 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 caseshttp://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/512Inverse Rayleigh distribution, Bayesian estimator, Generalized Squared error loss Function, Jefferys prior and Gamma prior
spellingShingle Huda A. Rasheed
Comparison of Bayes Estimators for Parameter and Relia-bility Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss Function
Mustansiriyah Journal of Science
Inverse Rayleigh distribution, Bayesian estimator, Generalized Squared error loss Function, Jefferys prior and Gamma prior
title Comparison of Bayes Estimators for Parameter and Relia-bility Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss Function
title_full Comparison of Bayes Estimators for Parameter and Relia-bility Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss Function
title_fullStr Comparison of Bayes Estimators for Parameter and Relia-bility Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss Function
title_full_unstemmed Comparison of Bayes Estimators for Parameter and Relia-bility Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss Function
title_short Comparison of Bayes Estimators for Parameter and Relia-bility Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss Function
title_sort comparison of bayes estimators for parameter and relia bility function for inverse rayleigh distribution by using generalized square error loss function
topic Inverse Rayleigh distribution, Bayesian estimator, Generalized Squared error loss Function, Jefferys prior and Gamma prior
url http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/512
work_keys_str_mv AT hudaarasheed comparisonofbayesestimatorsforparameterandreliabilityfunctionforinverserayleighdistributionbyusinggeneralizedsquareerrorlossfunction