Binomial-Bivariate Log-Normal Compound Model and its Application on Probability Estimation of Extreme Sea State
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Ocean Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11804-023-00314-0.pdf
Reference33 articles.
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2. Cheng YJ, Pang L, Dong S (2019) Study on the estimation of very long return-period significant wave height during hurricane in the region of South China Sea. Journal of Ocean University of China, 49(S2): 125–132. DOI: https://doi.org/10.16441/j.cnki.hdxb.20180015
3. Cheng YJ, Yan ZD, Pang L, Liu WW (2018) Probability analysis on the typhoon induced sea states of the South China Sea. 2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO), Kobe, Japan, 1–10. DOI: https://doi.org/10.1109/OCEANSKOBE.2018.8559105
4. Coles SG, Tawn JA (1991) Modelling extreme multivariate events. Journal of the Royal Statistical Society, Series B, Methodological 53(2): 377–392. DOI: https://doi.org/10.1111/j.2517-6161.1991.tb01830.x
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