Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution

Stress-strength models have been frequently studied in recent years. An applicable extension of these models is conditional stress-strength models. The maximum likelihood estimator of conditional stress-strength models, asymptotic distribution of this estimator, and its confidence intervals are obta...

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Autores principales: Riad, Fathy H., Saber, Mohammad Mehdi, Taghipour, Mehrdad, El-Raouf, M. M. Abd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349262/
https://www.ncbi.nlm.nih.gov/pubmed/34373685
http://dx.doi.org/10.1155/2021/1087871
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author Riad, Fathy H.
Saber, Mohammad Mehdi
Taghipour, Mehrdad
El-Raouf, M. M. Abd
author_facet Riad, Fathy H.
Saber, Mohammad Mehdi
Taghipour, Mehrdad
El-Raouf, M. M. Abd
author_sort Riad, Fathy H.
collection PubMed
description Stress-strength models have been frequently studied in recent years. An applicable extension of these models is conditional stress-strength models. The maximum likelihood estimator of conditional stress-strength models, asymptotic distribution of this estimator, and its confidence intervals are obtained for Kumaraswamy distribution. In addition, Bayesian estimation and bootstrap method are applied to the model.
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spelling pubmed-83492622021-08-08 Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution Riad, Fathy H. Saber, Mohammad Mehdi Taghipour, Mehrdad El-Raouf, M. M. Abd Comput Intell Neurosci Research Article Stress-strength models have been frequently studied in recent years. An applicable extension of these models is conditional stress-strength models. The maximum likelihood estimator of conditional stress-strength models, asymptotic distribution of this estimator, and its confidence intervals are obtained for Kumaraswamy distribution. In addition, Bayesian estimation and bootstrap method are applied to the model. Hindawi 2021-07-30 /pmc/articles/PMC8349262/ /pubmed/34373685 http://dx.doi.org/10.1155/2021/1087871 Text en Copyright © 2021 Fathy H. Riad et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Riad, Fathy H.
Saber, Mohammad Mehdi
Taghipour, Mehrdad
El-Raouf, M. M. Abd
Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
title Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
title_full Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
title_fullStr Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
title_full_unstemmed Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
title_short Classical and Bayesian Inference of Conditional Stress-Strength Model under Kumaraswamy Distribution
title_sort classical and bayesian inference of conditional stress-strength model under kumaraswamy distribution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349262/
https://www.ncbi.nlm.nih.gov/pubmed/34373685
http://dx.doi.org/10.1155/2021/1087871
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