A Survey of Approaches for Assessing and Managing the Risk of Extremes
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DOI: 10.1111/j.1539-6924.1999.tb00391.x
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References listed on IDEAS
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- Riccardo Minciardi & Roberto Sacile & Eva Trasforini, 2009. "Resource Allocation in Integrated Preoperational and Operational Management of Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 29(1), pages 62-75, January.
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- Hongyang Yu & Faisal Khan & Brian Veitch, 2017. "A Flexible Hierarchical Bayesian Modeling Technique for Risk Analysis of Major Accidents," Risk Analysis, John Wiley & Sons, vol. 37(9), pages 1668-1682, September.
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- Nima Khakzad & Faisal Khan & Paul Amyotte, 2015. "Major Accidents (Gray Swans) Likelihood Modeling Using Accident Precursors and Approximate Reasoning," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1336-1347, July.
- Smith, Curtis L., 2020. "Representing external hazard initiating events using a Bayesian approach and a generalized extreme value model," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
- Pietro Turati & Nicola Pedroni & Enrico Zio, 2017. "An Adaptive Simulation Framework for the Exploration of Extreme and Unexpected Events in Dynamic Engineered Systems," Risk Analysis, John Wiley & Sons, vol. 37(1), pages 147-159, January.
- Seth D. Baum, 2015. "Risk and resilience for unknown, unquantifiable, systemic, and unlikely/catastrophic threats," Environment Systems and Decisions, Springer, vol. 35(2), pages 229-236, June.
- Rebello, Sinda & Yu, Hongyang & Ma, Lin, 2019. "An integrated approach for real-time hazard mitigation in complex industrial processes," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 297-309.
- Elisabeth Paté‐Cornell, 2012. "On “Black Swans” and “Perfect Storms”: Risk Analysis and Management When Statistics Are Not Enough," Risk Analysis, John Wiley & Sons, vol. 32(11), pages 1823-1833, November.
- Convertino, Matteo & Annis, Antonio & Nardi, Fernando, 2019. "Information-theoretic Portfolio Decision Model for Optimal Flood Management," Earth Arxiv k5aut, Center for Open Science.
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