Hierarchical Bayesian Change-Point Analysis for Nonlinear Degradation Data

DOI10.1007/978-981-10-5194-4_2zbMath1402.62163OpenAlexW2752392343MaRDI QIDQ4559440

Tao Yuan, Suk Joo Bae

Publication date: 3 December 2018

Published in: Statistical Modeling for Degradation Data (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-10-5194-4_2

zbMATH Keywords

Gibbs samplinglifetime distributiondegradationchange-point regressionhierarchical Bayesian modeling

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items

A Bayesian approach to degradation modeling and reliability assessment of rolling element bearing

Uses Software

• BayesDA

Cites Work

• Degradation-based burn-in with preventive maintenance
• Optimal Design via Curve Fitting of Monte Carlo Experiments
• Determination of burn-in parameters and residual life for highly reliable products
• Hierarchical Bayesian Analysis of Changepoint Problems
• Unnamed Item
• Unnamed Item
• Unnamed Item