Copula-based stochastic simulation of hydrological data applied to Nile River flows

By Taesam Lee, J. Salas. 2011

96 citations recorded by the source corpus.

Subfields: Environmental Engineering, Finance, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c6a2bc147d70641c5d9da8718e9efdafb8308a76

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Y. P. Li
2. Y. Fan
3. G. H. Huang
4. Xiang-Ming Kong

In Finance

1. Y. P. Li
2. Y. Fan
3. G. H. Huang
4. Xiang-Ming Kong

In Global and Planetary Change

1. Y. P. Li
2. Y. Fan
3. G. H. Huang
4. Xiang-Ming Kong

Citations in the corpus

• Maximum entropy-Gumbel-Hougaard copula method for simulation of monthly streamflow in Xiangxi river, China (2015, methodology): “On account of the capability of capturing both linear and nonlinear dependence between random variables, the copula method was introduced in streamflow simulation by Lee and Salas (2011).”