Multivariate quantiles in hydrological frequency analysis
By Fateh Chebana, Taha B. M. J. Ouarda. 2011
195 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/2216e64abda9eb0ad489e42a12202961d97584e9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- F. Serinaldi
- C. Bracken
- K. Holman
- Hamid Moradkhani
- Balaji Rajagopalan
- Taha B. M. J. Ouarda
- Fateh Chebana
In Global and Planetary Change
- F. Serinaldi
- Fateh Chebana
- Taha B. M. J. Ouarda
- Balaji Rajagopalan
- C. Bracken
- Hamid Moradkhani
- K. Holman
- Vijay P. Singh
In Water Science and Technology
- F. Serinaldi
- Fateh Chebana
- Hamid Moradkhani
- C. Bracken
- K. Holman
- Balaji Rajagopalan
- Taha B. M. J. Ouarda
- Hoshin V. Gupta
Citations in the corpus
- A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis (2018, methodology): “Chebana and Ouarda (2011) specify a joint distribution for the quantiles of peak flow and volume using a copula.”
- Index flood–based multivariate regional frequency analysis (2009, background): “For instance, floods are described through their volume, peak and duration [Ashkar, 1980; Yue et al., 1999; Ouarda et al., 2000; Yue, 2001; Shiau, 2003; De Michele et al., 2005; Zhang and Singh, 2006; Chebana and Ouarda, 2009].”
- An uncertain journey around the tails of multivariate hydrological distributions (2013, methodology): “…72.5–74.5 W. [64] Both Yue et al. [1999] and Chebana and Ouarda [2011] used Gumbel univariate distributions for V and Q, whereas two different models were applied to model the copula, namely, a bivariate Gumbel mixed model [Yue et al., 1999] and a Gumbel logistic model [Chebana and Ouarda, 2011].”