Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV-models
Author:
Affiliation:
1. Instituto Agronômico, Brazil
2. Universidad Católica del Maule, Chile
Publisher
FapUNIFESP (SciELO)
Subject
General Agricultural and Biological Sciences,Materials Science (miscellaneous)
Link
http://www.scielo.br/pdf/brag/v78n4/0006-8705-brag-78-4-0606.pdf
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3. Multimodel inference: understanding AIC and BIC in model selection;Burnham K. P;Sociological Methods & Research,2004
4. Significance of AIC differences for precipitation intensity distributions;Cahill A. T.;Advances in Water Resources,2003
5. A flexible nonlinear modelling framework for nonstationary generalized extreme value analysis in hydroclimatology;Cannon A. J.;Hydrological Processes: An International Journal,2010
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