Optimal Design for Step-Stress Accelerated Degradation Test with Multiple Performance Characteristics Based on Gamma Processes

DOI10.1080/03610918.2012.700749zbMath1333.62307OpenAlexW2008825253MaRDI QIDQ5417924

Quan Sun, Zhengqiang Pan

Publication date: 23 May 2014

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

Full work available at URL: https://doi.org/10.1080/03610918.2012.700749

zbMATH Keywords

asymptotic varianceoptimal designgamma processmultiple performance characteristicsstep-stress accelerated degradation test

Mathematics Subject Classification ID

Processes with independent increments; Lévy processes (60G51) Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (9)

Step-stress accelerated degradation test planning based on Wiener process with correlation ⋮ Degradation Modeling, Analysis, and Applications on Lifetime Prediction ⋮ Degradation-Based Reliability Modeling of Complex Systems in Dynamic Environments ⋮ Inverse Gaussian process models for bivariate degradation analysis: A Bayesian perspective ⋮ Optimal design for constant-stress accelerated degradation test based on gamma process ⋮ Optimum degradation test plan under model mis-specification for Wiener and gamma processes ⋮ Optimal step-stress accelerated degradation test plans for inverse Gaussian process based on proportional degradation rate model ⋮ Copula Density Estimation Using Multiwavelets Based on the Multiresolution Analysis ⋮ Reliability assessment for products with two performance characteristics based on marginal stochastic processes and copulas

Cites Work

• Covariates and random effects in a Gamma process model with application to degradation and failure
• Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
• Designing an accelerated degradation experiment with a reciprocal Weibull degradation rate
• Renewal theory in two dimensions: asymptotic results
• Bivariate Gamma Random Vectors
• Estimation in degradation models with explanatory variables

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