A Bayesian approach to estimate the failure time distribution of a log-logistic degradation model
type: Item
instance of: scholarly article
title: A Bayesian approach to estimate the failure time distribution of a log-logistic degradation model
zbMATH Open document ID: 1404.62099
author: Aymen Rawashdeh
author: Mohammed Hassan Al-Haj Ebrahem
author: Ayat Momani
published in: Metron
publication date: 2018-11-06T00:00:00Z
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 6973998
zbMATH Keywords: degradation model
zbMATH Keywords: Bayesian analysis
zbMATH Keywords: differential evolution Markov chain
zbMATH Keywords: log-logistic distribution
zbMATH Keywords: Weibull degradation model
describes a project that uses: SPLIDA
describes a project that uses: BayesDA
MaRDI profile type: Publication
full work available at URL: s40300-018-0141-7
OpenAlex ID: W2808472815
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cites work: A novel weighted likelihood estimation with empirical Bayes flavor
cites work: Q5726065
cites work: Using Degradation Measures to Estimate a Time-to-Failure Distribution
cites work: Q4211180
cites work: Bayesian Measures of Model Complexity and Fit
cites work: Designing an accelerated degradation experiment with a reciprocal Weibull degradation rate
DOI: 10.1007/S40300-018-0141-7
description: scientific article; zbMATH DE number 6973998