Jointly Rayleigh lifetime products in the presence of competing risks model

In this article, we are applying the competing risks model of product from two different lines of production. So, the comparative life test is done under type-II censoring scheme with consideration of only two independent causes of failure. The statistical analysis procedures are developed consideri...

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Main Authors: Badr Souha K., Abu-Zinadah Hanaa
Format: Article
Language:English
Published: De Gruyter 2022-09-01
Series:Open Physics
Subjects:
Online Access:https://doi.org/10.1515/phys-2022-0192
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author Badr Souha K.
Abu-Zinadah Hanaa
author_facet Badr Souha K.
Abu-Zinadah Hanaa
author_sort Badr Souha K.
collection DOAJ
description In this article, we are applying the competing risks model of product from two different lines of production. So, the comparative life test is done under type-II censoring scheme with consideration of only two independent causes of failure. The statistical analysis procedures are developed considering joint sample of production and its life distributed with the Rayleigh lifetime distribution. The point estimation and the corresponding asymptotic confidence interval of the model parameters under maximum likelihood are constructed. Two bootstrap confidence intervals, bootstrap-pp, and bootstrap-tt, are discussed. Also, Bayesian approach to estimate point and credible interval is constructed. The estimation results are discussed through data set analyses. The validity of theoretical results is assessed and compared through Monte Carlo study. Finally, some of the points are reported as a brief comment.
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spelling doaj.art-84c0c08b84e041efb9a78e74e272d00a2022-12-22T03:51:06ZengDe GruyterOpen Physics2391-54712022-09-0120191993110.1515/phys-2022-0192Jointly Rayleigh lifetime products in the presence of competing risks modelBadr Souha K.0Abu-Zinadah Hanaa1Department of Statistics, College of Science, University of Jeddah, Jeddah, Saudi ArabiaDepartment of Statistics, College of Science, University of Jeddah, Jeddah, Saudi ArabiaIn this article, we are applying the competing risks model of product from two different lines of production. So, the comparative life test is done under type-II censoring scheme with consideration of only two independent causes of failure. The statistical analysis procedures are developed considering joint sample of production and its life distributed with the Rayleigh lifetime distribution. The point estimation and the corresponding asymptotic confidence interval of the model parameters under maximum likelihood are constructed. Two bootstrap confidence intervals, bootstrap-pp, and bootstrap-tt, are discussed. Also, Bayesian approach to estimate point and credible interval is constructed. The estimation results are discussed through data set analyses. The validity of theoretical results is assessed and compared through Monte Carlo study. Finally, some of the points are reported as a brief comment.https://doi.org/10.1515/phys-2022-0192comparative life testingrayleigh distributioncompeting risks modelbayes estimationbootstrap confidence intervalsmaximum likelihood estimation
spellingShingle Badr Souha K.
Abu-Zinadah Hanaa
Jointly Rayleigh lifetime products in the presence of competing risks model
Open Physics
comparative life testing
rayleigh distribution
competing risks model
bayes estimation
bootstrap confidence intervals
maximum likelihood estimation
title Jointly Rayleigh lifetime products in the presence of competing risks model
title_full Jointly Rayleigh lifetime products in the presence of competing risks model
title_fullStr Jointly Rayleigh lifetime products in the presence of competing risks model
title_full_unstemmed Jointly Rayleigh lifetime products in the presence of competing risks model
title_short Jointly Rayleigh lifetime products in the presence of competing risks model
title_sort jointly rayleigh lifetime products in the presence of competing risks model
topic comparative life testing
rayleigh distribution
competing risks model
bayes estimation
bootstrap confidence intervals
maximum likelihood estimation
url https://doi.org/10.1515/phys-2022-0192
work_keys_str_mv AT badrsouhak jointlyrayleighlifetimeproductsinthepresenceofcompetingrisksmodel
AT abuzinadahhanaa jointlyrayleighlifetimeproductsinthepresenceofcompetingrisksmodel