E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data
This article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter. The Bayesian and E-Bayesian estimators are obtained under squared error and LINEX loss functions. A comparison between E-Bayes...
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Format: | Article |
Language: | English |
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Springer
2017-05-01
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Series: | Journal of Statistical Theory and Applications (JSTA) |
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Online Access: | https://www.atlantis-press.com/article/25878528.pdf |
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author | Rashad Mohamed EL-Sagheer |
author_facet | Rashad Mohamed EL-Sagheer |
author_sort | Rashad Mohamed EL-Sagheer |
collection | DOAJ |
description | This article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter. The Bayesian and E-Bayesian estimators are obtained under squared error and LINEX loss functions. A comparison between E-Bayesian method and corresponding Bayes and maximum likelihood methods is presented using the Monte Carlo simulation study. |
first_indexed | 2024-12-12T15:08:40Z |
format | Article |
id | doaj.art-efd638f2e5994115b6d1fccadfbe5143 |
institution | Directory Open Access Journal |
issn | 1538-7887 |
language | English |
last_indexed | 2024-12-12T15:08:40Z |
publishDate | 2017-05-01 |
publisher | Springer |
record_format | Article |
series | Journal of Statistical Theory and Applications (JSTA) |
spelling | doaj.art-efd638f2e5994115b6d1fccadfbe51432022-12-22T00:20:40ZengSpringerJournal of Statistical Theory and Applications (JSTA)1538-78872017-05-0116210.2991/jsta.2017.16.2.8E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring DataRashad Mohamed EL-SagheerThis article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter. The Bayesian and E-Bayesian estimators are obtained under squared error and LINEX loss functions. A comparison between E-Bayesian method and corresponding Bayes and maximum likelihood methods is presented using the Monte Carlo simulation study.https://www.atlantis-press.com/article/25878528.pdfRayleigh distribution; Progressive type-II censoring; Bayesian estimation; E-Bayesian estimation. |
spellingShingle | Rashad Mohamed EL-Sagheer E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data Journal of Statistical Theory and Applications (JSTA) Rayleigh distribution; Progressive type-II censoring; Bayesian estimation; E-Bayesian estimation. |
title | E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data |
title_full | E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data |
title_fullStr | E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data |
title_full_unstemmed | E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data |
title_short | E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data |
title_sort | e bayesian estimation for rayleigh model using progressive type ii censoring data |
topic | Rayleigh distribution; Progressive type-II censoring; Bayesian estimation; E-Bayesian estimation. |
url | https://www.atlantis-press.com/article/25878528.pdf |
work_keys_str_mv | AT rashadmohamedelsagheer ebayesianestimationforrayleighmodelusingprogressivetypeiicensoringdata |