Maximum likelihood and Bayesian inference for common-cause of failure model
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DOI: 10.1016/j.ress.2018.10.003
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References listed on IDEAS
- Atwood, Corwin L. & Kelly, Dana L., 2009. "The binomial failure rate common-cause model with WinBUGS," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 990-999.
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Cited by:
- Yu, Yaocheng & Shuai, Bin & Huang, Wencheng, 2024. "Resilience evaluation of train control on-board system considering common cause failure: Based on a beta-factor and continuous-time bayesian network model," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
- Nguyen, H.D. & Gouno, E., 2020. "Bayesian inference for Common cause failure rate based on causal inference with missing data," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
- Shekhar, Chandra & Kumar, Amit & Varshney, Shreekant, 2020. "Load sharing redundant repairable systems with switching and reboot delay," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
- Bao, Han & Zhang, Hongbin & Shorthill, Tate & Chen, Edward & Lawrence, Svetlana, 2023. "Quantitative evaluation of common cause failures in high safety-significant safety-related digital instrumentation and control systems in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
- Jayaraman, Deepan & Ramu, Palaniappan, 2023. "L-moments and Bayesian inference for probabilistic risk assessment with scarce samples that include extremes," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
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Keywords
Binomial failure-rate model; Common-cause failure; Poisson process; Maximum likelihood; Bayesian estimation;All these keywords.
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