Bayesian estimation of reliability using time-to-failure distribution of parametric degradation models

DOI10.1080/00949655.2018.1445743OpenAlexW2792409640WikidataQ130155432 ScholiaQ130155432MaRDI QIDQ4960639

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Publication date: 23 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2018.1445743

zbMATH Keywords

robustnessreliabilitydegradation dataBayesian estimationGibbs samplingtime-to-failure distribution

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

A numerical method for system residual life prediction based on Simpson formula ⋮ Adaptive Bayesian prediction of reliability based on degradation process

Uses Software

• SPLIDA

Cites Work

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• Bayesian reliability
• Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
• Modelling accelerated degradation data using Wiener diffusion with a time scale transformation
• Reliability modeling of systems with two dependent degrading components based on gamma processes
• Estimating Percentiles of Time-to-Failure Distribution Obtained from a Linear Degradation Model Using Kernel Density Method
• Using Degradation Measures to Estimate a Time-to-Failure Distribution
• Degradation data analysis for samples under unequal operating conditions: a case study on train wheels

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