Index flood–based multivariate regional frequency analysis
By Fateh Chebana, Taha B. M. J. Ouarda. 2009
102 citations recorded by the source corpus.
Subfields: Finance, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/27af0ad5bbe908265a4f2f3597484417aed9f91d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Zengchao Hao
- Vijay P. Singh
- F. Serinaldi
- Vijay P. Singh
- Aurelio Fernández Bariviera
- M. Janga Reddy
- Poulomi Ganguli
- Shenglian Guo
In Global and Planetary Change
- Zengchao Hao
- Vijay P. Singh
- F. Serinaldi
- Shenglian Guo
- Vijay P. Singh
- M. Janga Reddy
- Poulomi Ganguli
- András Bárdossy
Citations in the corpus
- An uncertain journey around the tails of multivariate hydrological distributions (2013, background): “Most of the literature focuses on finding the best joint distribution that fits the multivariate empirical distribution of the data without accounting for the uncertainty and then the reliability of the estimates and their applicability to design problems, whereas regionalization procedures are in t”
- Entropy‐copula method for single‐site monthly streamflow simulation (2012, background): “One of the most common applications is frequency analysis of hydrological variables [Favre et al., 2004; Salvadori and De Michele, 2004; Genest et al., 2007; Kao and Govindaraju, 2008; Chebana and Ouarda, 2009; Salvadori and De Michele, 2010; Renard, 2011; Vandenberghe et al., 2011].”