Bayesian Analysis of a New Bivariate Wiener Degradation Process

DOI10.1007/978-3-030-88658-5_7OpenAlexW4298082287MaRDI QIDQ5051092

Ancha Xu

Publication date: 18 November 2022

Published in: Emerging Topics in Statistics and Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-88658-5_7

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Reliability and life testing (62N05)

Uses Software

• SPLIDA

Cites Work

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• Statistical analysis of linear degradation and failure time data with multiple failure modes
• Covariates and random effects in a Gamma process model with application to degradation and failure
• Modelling accelerated degradation data using Wiener diffusion with a time scale transformation
• Analysis of joint multiple failure mode and linear degradation data with renewals
• Bivariate Constant-Stress Accelerated Degradation Model and Inference
• Bayesian Disease Mapping
• Using Degradation Measures to Estimate a Time-to-Failure Distribution
• Bivariate degradation analysis of products based on Wiener processes and copulas
• Residual life estimation based on bivariate Wiener degradation process with time-scale transformations
• Residual life estimation based on bivariate non-stationary gamma degradation process
• Prior Probabilities

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