Reliability Inference of Multicomponent Stress–Strength System Based on Chen Distribution Using Progressively Censored Data

In this paper, we study the inference of the multicomponent stress–strength reliability (MSSR) based on the Chen distribution using progressively Type-II censored data. Both the stress and strength variables follow the Chen distribution with a common second shape parameter. The maximum likelihood es...

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Main Authors: Chaoen Hu, Wenhao Gui
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/11/6509
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author Chaoen Hu
Wenhao Gui
author_facet Chaoen Hu
Wenhao Gui
author_sort Chaoen Hu
collection DOAJ
description In this paper, we study the inference of the multicomponent stress–strength reliability (MSSR) based on the Chen distribution using progressively Type-II censored data. Both the stress and strength variables follow the Chen distribution with a common second shape parameter. The maximum likelihood estimates and the asymptotic confidence intervals of the MSSR are developed. The bootstrap confidence interval of the MSSR is also constructed. The Bayesian estimation of the MSSR is obtained under the generalized entropy loss function using the Markov Chain Monte Carlo method. To check the effectiveness of the proposed approach, simulation studies are performed. Finally, a real data set is analyzed.
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spelling doaj.art-e6941f7db08a41ba9b947a6f27fcb6522023-11-18T07:33:05ZengMDPI AGApplied Sciences2076-34172023-05-011311650910.3390/app13116509Reliability Inference of Multicomponent Stress–Strength System Based on Chen Distribution Using Progressively Censored DataChaoen Hu0Wenhao Gui1School of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, ChinaIn this paper, we study the inference of the multicomponent stress–strength reliability (MSSR) based on the Chen distribution using progressively Type-II censored data. Both the stress and strength variables follow the Chen distribution with a common second shape parameter. The maximum likelihood estimates and the asymptotic confidence intervals of the MSSR are developed. The bootstrap confidence interval of the MSSR is also constructed. The Bayesian estimation of the MSSR is obtained under the generalized entropy loss function using the Markov Chain Monte Carlo method. To check the effectiveness of the proposed approach, simulation studies are performed. Finally, a real data set is analyzed.https://www.mdpi.com/2076-3417/13/11/6509multicomponent stress–strength reliabilityChen distributionprogressively Type-II censored datamaximum likelihood estimationBayesian estimation
spellingShingle Chaoen Hu
Wenhao Gui
Reliability Inference of Multicomponent Stress–Strength System Based on Chen Distribution Using Progressively Censored Data
Applied Sciences
multicomponent stress–strength reliability
Chen distribution
progressively Type-II censored data
maximum likelihood estimation
Bayesian estimation
title Reliability Inference of Multicomponent Stress–Strength System Based on Chen Distribution Using Progressively Censored Data
title_full Reliability Inference of Multicomponent Stress–Strength System Based on Chen Distribution Using Progressively Censored Data
title_fullStr Reliability Inference of Multicomponent Stress–Strength System Based on Chen Distribution Using Progressively Censored Data
title_full_unstemmed Reliability Inference of Multicomponent Stress–Strength System Based on Chen Distribution Using Progressively Censored Data
title_short Reliability Inference of Multicomponent Stress–Strength System Based on Chen Distribution Using Progressively Censored Data
title_sort reliability inference of multicomponent stress strength system based on chen distribution using progressively censored data
topic multicomponent stress–strength reliability
Chen distribution
progressively Type-II censored data
maximum likelihood estimation
Bayesian estimation
url https://www.mdpi.com/2076-3417/13/11/6509
work_keys_str_mv AT chaoenhu reliabilityinferenceofmulticomponentstressstrengthsystembasedonchendistributionusingprogressivelycensoreddata
AT wenhaogui reliabilityinferenceofmulticomponentstressstrengthsystembasedonchendistributionusingprogressivelycensoreddata