Statistical Inference of the Lifetime Performance Index with the Log-Logistic Distribution Based on Progressive First-Failure-Censored Data

Estimating the accurate evaluation of product lifetime performance has always been a hot topic in manufacturing industry. This paper, based on the lifetime performance index, focuses on its evaluation when a lower specification limit is given. The progressive first-failure-censored data we discuss h...

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Main Authors: Ying Xie, Wenhao Gui
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/6/937
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author Ying Xie
Wenhao Gui
author_facet Ying Xie
Wenhao Gui
author_sort Ying Xie
collection DOAJ
description Estimating the accurate evaluation of product lifetime performance has always been a hot topic in manufacturing industry. This paper, based on the lifetime performance index, focuses on its evaluation when a lower specification limit is given. The progressive first-failure-censored data we discuss have a common log-logistic distribution. Both Bayesian and non-Bayesian method are studied. Bayes estimator of the parameters of the log-logistic distribution and the lifetime performance index are obtained using both the Lindley approximation and Monte Carlo Markov Chain methods under symmetric and asymmetric loss functions. As for interval estimation, we apply the maximum likelihood estimator to construct the asymptotic confidence intervals and the Metropolis–Hastings algorithm to establish the highest posterior density credible intervals. Moreover, we analyze a real data set for demonstrative purposes. In addition, different criteria for deciding the optimal censoring scheme have been studied.
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spelling doaj.art-d4c754a77fd34f60b991da5522bce09a2023-11-20T02:41:58ZengMDPI AGSymmetry2073-89942020-06-0112693710.3390/sym12060937Statistical Inference of the Lifetime Performance Index with the Log-Logistic Distribution Based on Progressive First-Failure-Censored DataYing Xie0Wenhao Gui1Department of Mathematics, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Mathematics, Beijing Jiaotong University, Beijing 100044, ChinaEstimating the accurate evaluation of product lifetime performance has always been a hot topic in manufacturing industry. This paper, based on the lifetime performance index, focuses on its evaluation when a lower specification limit is given. The progressive first-failure-censored data we discuss have a common log-logistic distribution. Both Bayesian and non-Bayesian method are studied. Bayes estimator of the parameters of the log-logistic distribution and the lifetime performance index are obtained using both the Lindley approximation and Monte Carlo Markov Chain methods under symmetric and asymmetric loss functions. As for interval estimation, we apply the maximum likelihood estimator to construct the asymptotic confidence intervals and the Metropolis–Hastings algorithm to establish the highest posterior density credible intervals. Moreover, we analyze a real data set for demonstrative purposes. In addition, different criteria for deciding the optimal censoring scheme have been studied.https://www.mdpi.com/2073-8994/12/6/937progressive first-failure-censored samplelog-logistic distributionthe lifetime performance indexmaximum likelihood estimationFisher information matrixBayesian analysis
spellingShingle Ying Xie
Wenhao Gui
Statistical Inference of the Lifetime Performance Index with the Log-Logistic Distribution Based on Progressive First-Failure-Censored Data
Symmetry
progressive first-failure-censored sample
log-logistic distribution
the lifetime performance index
maximum likelihood estimation
Fisher information matrix
Bayesian analysis
title Statistical Inference of the Lifetime Performance Index with the Log-Logistic Distribution Based on Progressive First-Failure-Censored Data
title_full Statistical Inference of the Lifetime Performance Index with the Log-Logistic Distribution Based on Progressive First-Failure-Censored Data
title_fullStr Statistical Inference of the Lifetime Performance Index with the Log-Logistic Distribution Based on Progressive First-Failure-Censored Data
title_full_unstemmed Statistical Inference of the Lifetime Performance Index with the Log-Logistic Distribution Based on Progressive First-Failure-Censored Data
title_short Statistical Inference of the Lifetime Performance Index with the Log-Logistic Distribution Based on Progressive First-Failure-Censored Data
title_sort statistical inference of the lifetime performance index with the log logistic distribution based on progressive first failure censored data
topic progressive first-failure-censored sample
log-logistic distribution
the lifetime performance index
maximum likelihood estimation
Fisher information matrix
Bayesian analysis
url https://www.mdpi.com/2073-8994/12/6/937
work_keys_str_mv AT yingxie statisticalinferenceofthelifetimeperformanceindexwiththeloglogisticdistributionbasedonprogressivefirstfailurecensoreddata
AT wenhaogui statisticalinferenceofthelifetimeperformanceindexwiththeloglogisticdistributionbasedonprogressivefirstfailurecensoreddata