Failure Inference and Optimization for Step Stress Model Based on Bivariate Wiener Model

DOI10.1080/03610918.2013.857685zbMath1341.62300arXiv1406.4261OpenAlexW2088256216MaRDI QIDQ2809589

Morteza Amini, Soudabeh Shemehsavar

Publication date: 30 May 2016

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

Full work available at URL: https://arxiv.org/abs/1406.4261

zbMATH Keywords

inverse Gaussian distributionFisher information matrixbivariate normal

Mathematics Subject Classification ID

Applications of renewal theory (reliability, demand theory, etc.) (60K10) Reliability and life testing (62N05)

Related Items (1)

Inverse Gaussian process models for bivariate degradation analysis: A Bayesian perspective

Cites Work

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• Multiple-Steps Step-Stress Accelerated Degradation Modeling Based on Wiener and Gamma Processes
• Accelerated Testing
• Calibration of Proportional Hazards and Accelerated Failure Time Models

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