Inverse gaussian accelerated test models based on cumulative damage

DOI10.1080/00949650008812024zbMath0970.62070OpenAlexW2066714481MaRDI QIDQ4514239

Arzu Onar, W. J. Padgett

Publication date: 3 October 2001

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650008812024

zbMATH Keywords

Birnbaum-Saunders distributionfirst passagedamage threshold

Mathematics Subject Classification ID

Reliability and life testing (62N05)

Related Items (8)

Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary ⋮ Stochastic Accelerated Degradation Models Based on a Generalized Cumulative Damage Approach ⋮ A penalized local D-optimality approach to design for accelerated test models ⋮ Percentile Estimation in Inverse Gaussian Distributions ⋮ A general class of cumulative damage models for materials failure ⋮ On Two Damage Accumulation Models and Their Size Effects ⋮ Accelerated degradation models for failure based on geometric Brownian motion and gamma processes ⋮ Statistical inference for geometric process with the inverse Gaussian distribution

Cites Work

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• Accelerated test models for system strength based on Birnbaum-Saunders distributions
• Cumulative Damage Models for System Failure with Application to Carbon Fibers and Composites
• A Statistical Model for Life-Length of Materials
• Fatigue Failure Models ߝ Birnbaum-Saunders vs. Inverse Gaussian
• Accelerated Testing
• Estimation for a family of life distributions with applications to fatigue

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