Quantifying the risk of extreme aviation accidents
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Abstract
Suggested Citation
DOI: 10.1016/j.physa.2016.07.023
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Cited by:
- Yu, Hongxia & Li, Xing, 2019. "On the chaos analysis and prediction of aircraft accidents based on multi-timescales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
- Dey Ashim Kumar & Das Kumer Pial, 2020. "Predicting Federal Funds Rate Using Extreme Value Theory," Stochastics and Quality Control, De Gruyter, vol. 35(1), pages 1-15, June.
- Shao, Quan & Yuan, Jia, 2022. "Study on the disposal strategy of civil aviation passenger collective events based on evolutionary game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
- Zhang, Hengqi & Geng, Hua & Zeng, Huarong & Jiang, Li, 2023. "Dynamic risk evaluation and control of electrical personal accidents," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
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Keywords
Aviation accident; Extreme value model; Return level; Uncertainty; Bootstrap sampling; Monte Carlo simulation;All these keywords.
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