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Advances in extreme value analysis and application to natural hazards

Author

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  • Ivan D. Haigh

    (University of Southampton)

  • Thomas Wahl

    (University of Central Florida)

Abstract

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Suggested Citation

  • Ivan D. Haigh & Thomas Wahl, 2019. "Advances in extreme value analysis and application to natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 819-822, September.
    • Handle: RePEc:spr:nathaz:v:98:y:2019:i:3:d:10.1007_s11069-019-03628-x
    DOI: 10.1007/s11069-019-03628-x
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    References listed on IDEAS

    as
    1. Franck Mazas, 2019. "Extreme events: a framework for assessing natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 823-848, September.
    2. Panagiota Galiatsatou & Christos Makris & Panayotis Prinos & Dimitrios Kokkinos, 2019. "Nonstationary joint probability analysis of extreme marine variables to assess design water levels at the shoreline in a changing climate," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 1051-1089, September.
    3. Dat T. Pham & Adam D. Switzer & Gabriel Huerta & Aron J. Meltzner & Huan M. Nguyen & Emma M. Hill, 2019. "Spatiotemporal variations of extreme sea levels around the South China Sea: assessing the influence of tropical cyclones, monsoons and major climate modes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 969-1001, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jui-Sheng Chou & Dinh-Nhat Truong & Yonatan Che, 2020. "Optimized multi-output machine learning system for engineering informatics in assessing natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(3), pages 727-754, April.

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