Mis-specification analysis of the impact of covariates on the diffusion coefficient in Wiener degradation process

DOI10.1080/03610918.2019.1710194zbMath1489.62320OpenAlexW2999927297WikidataQ126349385 ScholiaQ126349385MaRDI QIDQ5866151

Li Sun, Xiaohui Gu, Fang-Chao Zhao, Narayanaswamy Balakrishnan

Publication date: 13 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2019.1710194

zbMATH Keywords

diffusion coefficientaccelerated degradation testmis-specificationnonlinear Wiener process

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Markov processes: estimation; hidden Markov models (62M05) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)

Cites Work

• Mis-specification analyses of gamma and Wiener degradation processes
• Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
• Modelling accelerated degradation data using Wiener diffusion with a time scale transformation
• Inference from accelerated degradation and failure data based on Gaussian process models
• Optimal constant-stress accelerated degradation test plans using nonlinear generalized Wiener process
• Optimum step-stress accelerated degradation test for Wiener degradation process under constraints
• Mis-specification Analyses of Nonlinear Wiener Process-based Degradation Models
• Reliability inference for field conditions from accelerated degradation testing
• Optimal design of accelerated degradation tests based on Wiener process models
• Maximum Likelihood Estimation of Misspecified Models

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