Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II Censoring

This paper discusses statistical inference and optimal design of constant-stress accelerated life testing for the Chen distribution under progressive Type-II censoring. The scale parameter of the life distribution is assumed to be a logarithmic linear function of the stress level. The maximum likeli...

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Main Authors: Wenjie Zhang, Wenhao Gui
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/9/1609
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author Wenjie Zhang
Wenhao Gui
author_facet Wenjie Zhang
Wenhao Gui
author_sort Wenjie Zhang
collection DOAJ
description This paper discusses statistical inference and optimal design of constant-stress accelerated life testing for the Chen distribution under progressive Type-II censoring. The scale parameter of the life distribution is assumed to be a logarithmic linear function of the stress level. The maximum likelihood estimates of the parameters are obtained. Then, the observed Fisher information matrix is derived and utilized to construct asymptotic confidence intervals. Meanwhile, the parametric bootstrap methods are provided for the interval estimation. In addition, the Bayes estimates under the squared error loss function are obtained by applying the Tierney and Kadane technique and Lindley’s approximation. As for the optimal design, D- and A-optimality criteria are considered to determine the optimal transformed stress level. Finally, the simulation is carried out to demonstrate the proposed estimation techniques and the optimal criteria, and a real data set is discussed.
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spelling doaj.art-5ecd690a8ef8433f9d803880f737f0682023-11-23T08:46:52ZengMDPI AGMathematics2227-73902022-05-01109160910.3390/math10091609Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II CensoringWenjie Zhang0Wenhao Gui1School of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Mathematics and Statistics, Beijing Jiaotong University, Beijing 100044, ChinaThis paper discusses statistical inference and optimal design of constant-stress accelerated life testing for the Chen distribution under progressive Type-II censoring. The scale parameter of the life distribution is assumed to be a logarithmic linear function of the stress level. The maximum likelihood estimates of the parameters are obtained. Then, the observed Fisher information matrix is derived and utilized to construct asymptotic confidence intervals. Meanwhile, the parametric bootstrap methods are provided for the interval estimation. In addition, the Bayes estimates under the squared error loss function are obtained by applying the Tierney and Kadane technique and Lindley’s approximation. As for the optimal design, D- and A-optimality criteria are considered to determine the optimal transformed stress level. Finally, the simulation is carried out to demonstrate the proposed estimation techniques and the optimal criteria, and a real data set is discussed.https://www.mdpi.com/2227-7390/10/9/1609accelerated life testingthe Chen distributionmaximum likelihood estimationparametric bootstrap methodsBayes estimationoptimal criteria
spellingShingle Wenjie Zhang
Wenhao Gui
Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II Censoring
Mathematics
accelerated life testing
the Chen distribution
maximum likelihood estimation
parametric bootstrap methods
Bayes estimation
optimal criteria
title Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II Censoring
title_full Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II Censoring
title_fullStr Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II Censoring
title_full_unstemmed Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II Censoring
title_short Statistical Inference and Optimal Design of Accelerated Life Testing for the Chen Distribution under Progressive Type-II Censoring
title_sort statistical inference and optimal design of accelerated life testing for the chen distribution under progressive type ii censoring
topic accelerated life testing
the Chen distribution
maximum likelihood estimation
parametric bootstrap methods
Bayes estimation
optimal criteria
url https://www.mdpi.com/2227-7390/10/9/1609
work_keys_str_mv AT wenjiezhang statisticalinferenceandoptimaldesignofacceleratedlifetestingforthechendistributionunderprogressivetypeiicensoring
AT wenhaogui statisticalinferenceandoptimaldesignofacceleratedlifetestingforthechendistributionunderprogressivetypeiicensoring