Application of degradation growth model in the estimation of Bayesian system reliability

DOI10.1080/03610918.2020.1828919OpenAlexW3092302889MaRDI QIDQ5055204

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Publication date: 13 December 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2020.1828919

zbMATH Keywords

reliabilityBayesian estimationGibbs samplingdegradation

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• bootstrap

Cites Work

• Unnamed Item
• Covariates and random effects in a Gamma process model with application to degradation and failure
• Shock and damage models in reliability theory
• Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
• Advances in degradation modeling. Applications to reliability, survival analysis, and finance. Dedicated to William Q. Meeker on the occasion of his 70th birthday.
• Classical and bayesian estimation of exponential reliability under time censoring with replacement
• 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
• Reliability computation under dynamic stress–strength modeling with cumulative stress and strength degradation

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