A bivariate mixed distribution with a heavy-tailed component and its application to single-site daily rainfall simulation-Reference-Cited by-同舟云学术

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A bivariate mixed distribution with a heavy-tailed component and its application to single-site daily rainfall simulation

Published:2013-02 Issue:2 Volume:49 Page:767-789
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Li Chao¹,Singh Vijay P.¹²,Mishra Ashok K.¹³

Affiliation:

1. Department of Biological and Agricultural Engineering; Texas A&M University; College Station Texas USA

2. Department of Civil and Environmental Engineering; Texas A&M University; College Station Texas USA

3. Pacific Northwest National Laboratory; Richland Washington USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/wrcr.20063/fullpdf

Reference69 articles.

1. A new look at the statistical model identification;Akaike;IEEE Trans. Autom. Control,1974

2. Space-time model for daily rainfall using atmospheric circulation patterns;Bárdossy;Water Resour. Res.,1992

3. Efficient stochastic generation of multi-site synthetic precipitation data;Brissette;J. Hydrol.,2007

4. Probabilistic multisite precipitation downscaling by an expanded Bernouilli-Gamma density network;Cannon;J. Hydrometeorol.,2008

5. A hybrid Pareto model for asymmetric fat-tailed date: The univariate case;Carreau;Extremes,2009

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