Articles | Volume 15, issue 1
https://doi.org/10.5194/hess-15-141-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-15-141-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Estimating strategies for multiparameter Multivariate Extreme Value copulas
G. Salvadori
Dipartimento di Matematica, Università del Salento, Provinciale Lecce-Arnesano, P.O. Box 193, 73100 Lecce, Italy
C. De Michele
Sezione CIMI, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20132 Milano, Italy
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Cited
26 citations as recorded by crossref.
- Estimation procedures for exchangeable Marshall copulas with hydrological application F. Durante & O. Okhrin 10.1007/s00477-014-0866-7
- Nonstationary Analysis for Bivariate Distribution of Flood Variables in the Ganjiang River Using Time-Varying Copula T. Wen et al. 10.3390/w11040746
- Flood coincidence analysis of Poyang Lake and Yangtze River: risk and influencing factors B. Jianping et al. 10.1007/s00477-018-1514-4
- Stochastic Flood Simulation Method Combining Flood Intensity and Morphological Indicators X. Fu et al. 10.3390/su151814032
- Spin-off Extreme Value and Archimedean copulas for estimating the bivariate structural risk R. Pappadà et al. 10.1007/s00477-015-1103-8
- Data-based bivariate uncertainty assessment of extreme rainfall-runoff using copulas: comparison between annual maximum series (AMS) and peaks over threshold (POT) E. Dodangeh et al. 10.1007/s10661-019-7202-0
- Pluvial flooding: High-resolution stochastic hazard mapping in urban areas by using fast-processing DEM-based algorithms L. Mediero et al. 10.1016/j.jhydrol.2022.127649
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- Catchment compatibility via copulas: A non-parametric study of the dependence structures of hydrological responses S. Grimaldi et al. 10.1016/j.advwatres.2016.02.003
- Climate derivatives strategies as an alternative to set up guaranteed prices for agricultural producers in México S. Cruz-Aké et al. 10.1080/13504851.2021.1985061
- Copula-based risk evaluation of hydrological droughts in the East River basin, China Q. Zhang et al. 10.1007/s00477-012-0675-9
- Multivariate real-time assessment of droughts via copula-based multi-site Hazard Trajectories and Fans G. Salvadori & C. De Michele 10.1016/j.jhydrol.2014.11.056
- Multivariate drought characteristics using trivariate Gaussian and Student t copulas M. Ma et al. 10.1002/hyp.8432
- Hydrological Droughts Analysis Based on Copulas Function in the East River Basin, China 名. 肖 10.12677/JWRR.2012.13016
- ASSESSMENT OF THE REGIONAL FREQUENCY ANALYSIS TO THE ESTIMATION OF EXTREME STORM SURGES J. Weiss et al. 10.9753/icce.v33.management.27
- Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula C. Jiang et al. 10.1002/hyp.10288
- Homogeneity testing for skewed and cross-correlated data in regional flood frequency analysis J. Lilienthal et al. 10.1016/j.jhydrol.2017.10.056
- An uncertain journey around the tails of multivariate hydrological distributions F. Serinaldi 10.1002/wrcr.20531
- Joint frequency analysis and uncertainty estimation of coupled rainfall–runoff series relying on historical and simulated data E. Dodangeh et al. 10.1080/02626667.2019.1704762
- Uncertainty Analysis of Bivariate Design Flood Estimation and its Impacts on Reservoir Routing J. Yin et al. 10.1007/s11269-018-1904-x
- Flood Frequency Analysis of Interconnected Rivers by Copulas E. Dodangeh et al. 10.1007/s11269-020-02634-0
- Clustering of concurrent flood risks via Hazard Scenarios R. Pappadà et al. 10.1016/j.spasta.2017.12.002
- Deriving Design Flood Hydrographs Based on Copula Function: A Case Study in Pakistan M. Rizwan et al. 10.3390/w11081531
- A bivariate return period based on copulas for hydrologic dam design: accounting for reservoir routing in risk estimation A. Requena et al. 10.5194/hess-17-3023-2013
- Estimation method for mixture copula models in hydrological context I. Ben Nasr & F. Chebana 10.1016/j.jhydrol.2022.128603
- Multivariate L-moment based tests for copula selection, with hydrometeorological applications I. Ben Nasr & F. Chebana 10.1016/j.jhydrol.2019.124151
26 citations as recorded by crossref.
- Estimation procedures for exchangeable Marshall copulas with hydrological application F. Durante & O. Okhrin 10.1007/s00477-014-0866-7
- Nonstationary Analysis for Bivariate Distribution of Flood Variables in the Ganjiang River Using Time-Varying Copula T. Wen et al. 10.3390/w11040746
- Flood coincidence analysis of Poyang Lake and Yangtze River: risk and influencing factors B. Jianping et al. 10.1007/s00477-018-1514-4
- Stochastic Flood Simulation Method Combining Flood Intensity and Morphological Indicators X. Fu et al. 10.3390/su151814032
- Spin-off Extreme Value and Archimedean copulas for estimating the bivariate structural risk R. Pappadà et al. 10.1007/s00477-015-1103-8
- Data-based bivariate uncertainty assessment of extreme rainfall-runoff using copulas: comparison between annual maximum series (AMS) and peaks over threshold (POT) E. Dodangeh et al. 10.1007/s10661-019-7202-0
- Pluvial flooding: High-resolution stochastic hazard mapping in urban areas by using fast-processing DEM-based algorithms L. Mediero et al. 10.1016/j.jhydrol.2022.127649
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- Catchment compatibility via copulas: A non-parametric study of the dependence structures of hydrological responses S. Grimaldi et al. 10.1016/j.advwatres.2016.02.003
- Climate derivatives strategies as an alternative to set up guaranteed prices for agricultural producers in México S. Cruz-Aké et al. 10.1080/13504851.2021.1985061
- Copula-based risk evaluation of hydrological droughts in the East River basin, China Q. Zhang et al. 10.1007/s00477-012-0675-9
- Multivariate real-time assessment of droughts via copula-based multi-site Hazard Trajectories and Fans G. Salvadori & C. De Michele 10.1016/j.jhydrol.2014.11.056
- Multivariate drought characteristics using trivariate Gaussian and Student t copulas M. Ma et al. 10.1002/hyp.8432
- Hydrological Droughts Analysis Based on Copulas Function in the East River Basin, China 名. 肖 10.12677/JWRR.2012.13016
- ASSESSMENT OF THE REGIONAL FREQUENCY ANALYSIS TO THE ESTIMATION OF EXTREME STORM SURGES J. Weiss et al. 10.9753/icce.v33.management.27
- Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula C. Jiang et al. 10.1002/hyp.10288
- Homogeneity testing for skewed and cross-correlated data in regional flood frequency analysis J. Lilienthal et al. 10.1016/j.jhydrol.2017.10.056
- An uncertain journey around the tails of multivariate hydrological distributions F. Serinaldi 10.1002/wrcr.20531
- Joint frequency analysis and uncertainty estimation of coupled rainfall–runoff series relying on historical and simulated data E. Dodangeh et al. 10.1080/02626667.2019.1704762
- Uncertainty Analysis of Bivariate Design Flood Estimation and its Impacts on Reservoir Routing J. Yin et al. 10.1007/s11269-018-1904-x
- Flood Frequency Analysis of Interconnected Rivers by Copulas E. Dodangeh et al. 10.1007/s11269-020-02634-0
- Clustering of concurrent flood risks via Hazard Scenarios R. Pappadà et al. 10.1016/j.spasta.2017.12.002
- Deriving Design Flood Hydrographs Based on Copula Function: A Case Study in Pakistan M. Rizwan et al. 10.3390/w11081531
- A bivariate return period based on copulas for hydrologic dam design: accounting for reservoir routing in risk estimation A. Requena et al. 10.5194/hess-17-3023-2013
- Estimation method for mixture copula models in hydrological context I. Ben Nasr & F. Chebana 10.1016/j.jhydrol.2022.128603
- Multivariate L-moment based tests for copula selection, with hydrometeorological applications I. Ben Nasr & F. Chebana 10.1016/j.jhydrol.2019.124151
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