Two‐component mixtures of normal, gamma, and Gumbel distributions for hydrological applications
By Guillaume Évin, James Merleau, Luc Perreault. 2011
57 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Global and Planetary Change, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/18c889552ce157e86b73f3d1bf1d28150e0b257b
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In Artificial Intelligence
In Global and Planetary Change
In Statistics and Probability
Citations in the corpus
- A unified statistical model for hydrological variables including the selection of threshold for the peak over threshold method (2012, background): “…with success for various geophysical applications, e.g., statistical downscaling of precipitation [Vrac and Naveau, 2007], simulating extreme rainfall events [Furrer and Katz, 2008], flow analysis [Evin et al., 2011], and time series simulations of sea state parameters [Solari and Losada, 2011].”