Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering Applications
In this paper, a new unified progressive hybrid censoring scheme UPHCS has been constructed. This unified censoring scheme covers eleven famous censoring schemes. The estimation problem of Burr-X distribution parameters has been studied using the maximum likelihood and Bayes approaches based on the...
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Language: | English |
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2022-01-01
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Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2022/3746821 |
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author | Saieed F. Ateya Randa Alharbi Mutua Kilai Ramy Aldallal |
author_facet | Saieed F. Ateya Randa Alharbi Mutua Kilai Ramy Aldallal |
author_sort | Saieed F. Ateya |
collection | DOAJ |
description | In this paper, a new unified progressive hybrid censoring scheme UPHCS has been constructed. This unified censoring scheme covers eleven famous censoring schemes. The estimation problem of Burr-X distribution parameters has been studied using the maximum likelihood and Bayes approaches based on the suggested unified progressive hybrid censored samples. Two real data sets have been used as illustrative engineering examples. |
format | Article |
id | doaj-art-180902b26a9243289c41fcc548a8cebb |
institution | Kabale University |
issn | 2314-4785 |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Mathematics |
spelling | doaj-art-180902b26a9243289c41fcc548a8cebb2025-02-03T05:51:01ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/3746821Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering ApplicationsSaieed F. Ateya0Randa Alharbi1Mutua Kilai2Ramy Aldallal3Department of MathematicsDepartment of StatisticsDepartment of MathematicsCollege of Business Administration in Hotat Bani TamimIn this paper, a new unified progressive hybrid censoring scheme UPHCS has been constructed. This unified censoring scheme covers eleven famous censoring schemes. The estimation problem of Burr-X distribution parameters has been studied using the maximum likelihood and Bayes approaches based on the suggested unified progressive hybrid censored samples. Two real data sets have been used as illustrative engineering examples.http://dx.doi.org/10.1155/2022/3746821 |
spellingShingle | Saieed F. Ateya Randa Alharbi Mutua Kilai Ramy Aldallal Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering Applications Journal of Mathematics |
title | Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering Applications |
title_full | Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering Applications |
title_fullStr | Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering Applications |
title_full_unstemmed | Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering Applications |
title_short | Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering Applications |
title_sort | classical and bayesian inference under burr x distribution based on new unified progressive hybrid censoring scheme with engineering applications |
url | http://dx.doi.org/10.1155/2022/3746821 |
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