Objective Bayesian Estimators for the Right Censored Rayleigh Distribution

The Rayleigh distribution, serving as a special case of the Weibull distribution, is known to have wide applications in survival analysis, reliability theory and communication engineering. In this paper, Bayesian estimators (including shrinkage estimators) of the unknown parameter of the censored R...

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Main Authors: J.T. Ferreira, A. Bekker, M. Arashi
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2016-10-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/197
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author J.T. Ferreira
A. Bekker
M. Arashi
author_facet J.T. Ferreira
A. Bekker
M. Arashi
author_sort J.T. Ferreira
collection DOAJ
description The Rayleigh distribution, serving as a special case of the Weibull distribution, is known to have wide applications in survival analysis, reliability theory and communication engineering. In this paper, Bayesian estimators (including shrinkage estimators) of the unknown parameter of the censored Rayleigh distribution are derived using the Al-Bayyati loss function, whilst simultaneously considering different objective prior distributions. Comparisons are made between the proposed estimators by calculating the risk functions using simulation studies and an illustrative example.
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spelling doaj.art-558d4a162c5c40c2a209221d5e35f33c2022-12-22T01:28:34ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712016-10-0114410.57805/revstat.v14i4.197Objective Bayesian Estimators for the Right Censored Rayleigh DistributionJ.T. Ferreira 0A. Bekker 1M. Arashi 2University of PretoriaUniversity of PretoriaShahrood Unviversity of Technology The Rayleigh distribution, serving as a special case of the Weibull distribution, is known to have wide applications in survival analysis, reliability theory and communication engineering. In this paper, Bayesian estimators (including shrinkage estimators) of the unknown parameter of the censored Rayleigh distribution are derived using the Al-Bayyati loss function, whilst simultaneously considering different objective prior distributions. Comparisons are made between the proposed estimators by calculating the risk functions using simulation studies and an illustrative example. https://revstat.ine.pt/index.php/REVSTAT/article/view/197Al-Bayyati lossRayleigh distributionrisk efficiencyshrinkage estimationsquared error loss
spellingShingle J.T. Ferreira
A. Bekker
M. Arashi
Objective Bayesian Estimators for the Right Censored Rayleigh Distribution
Revstat Statistical Journal
Al-Bayyati loss
Rayleigh distribution
risk efficiency
shrinkage estimation
squared error loss
title Objective Bayesian Estimators for the Right Censored Rayleigh Distribution
title_full Objective Bayesian Estimators for the Right Censored Rayleigh Distribution
title_fullStr Objective Bayesian Estimators for the Right Censored Rayleigh Distribution
title_full_unstemmed Objective Bayesian Estimators for the Right Censored Rayleigh Distribution
title_short Objective Bayesian Estimators for the Right Censored Rayleigh Distribution
title_sort objective bayesian estimators for the right censored rayleigh distribution
topic Al-Bayyati loss
Rayleigh distribution
risk efficiency
shrinkage estimation
squared error loss
url https://revstat.ine.pt/index.php/REVSTAT/article/view/197
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AT abekker objectivebayesianestimatorsfortherightcensoredrayleighdistribution
AT marashi objectivebayesianestimatorsfortherightcensoredrayleighdistribution