Bivariate Constant-Stress Accelerated Degradation Model and Inference

DOI10.1080/03610918.2010.534227zbMath1209.62240OpenAlexW2033619772MaRDI QIDQ3085309

Quan Sun, Zhengqiang Pan, Narayanaswamy Balakrishnan

Publication date: 31 March 2011

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

Full work available at URL: https://doi.org/10.1080/03610918.2010.534227

Mathematics Subject Classification ID

Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)

Related Items (13)

Bayesian Analysis of a New Bivariate Wiener Degradation Process ⋮ Mis-specification Analyses of Nonlinear Wiener Process-based Degradation Models ⋮ Degradation Modeling, Analysis, and Applications on Lifetime Prediction ⋮ Inverse Gaussian process models for bivariate degradation analysis: A Bayesian perspective ⋮ Degradation model analysis of two-component series and parallel systems ⋮ Bivariate nonlinear diffusion degradation process modeling via copula and MCMC ⋮ Objective Bayesian analysis for competing risks model with Wiener degradation phenomena and catastrophic failures ⋮ Optimal constant-stress accelerated degradation test plans using nonlinear generalized Wiener process ⋮ Optimal step-stress accelerated degradation test plans for inverse Gaussian process based on proportional degradation rate model ⋮ Failure Inference and Optimization for Step Stress Model Based on Bivariate Wiener Model ⋮ Residual Life Estimation Based on a Generalized Wiener Process with Skew-normal Random Effects ⋮ Residual life estimation based on bivariate non-stationary gamma degradation process ⋮ Residual life estimation based on nonlinear-multivariate Wiener processes

Cites Work

• Unnamed Item
• Statistical analysis of linear degradation and failure time data with multiple failure modes
• An introduction to copulas.
• Analysis of joint multiple failure mode and linear degradation data with renewals
• Bayesian Modeling Using WinBUGS
• Using Degradation Measures to Estimate a Time-to-Failure Distribution

This page was built for publication: Bivariate Constant-Stress Accelerated Degradation Model and Inference