Reducing uncertainty in estimates of frequency distribution parameters using composite likelihood approach and copula-based bivariate distributions-Reference-Cited by-同舟云学术

Reducing uncertainty in estimates of frequency distribution parameters using composite likelihood approach and copula-based bivariate distributions

Published:2010-11 Issue:11 Volume:46 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Chowdhary Hemant¹,Singh Vijay P.²

Affiliation:

1. Department of Civil and Environmental Engineering; Louisiana State University; Baton Rouge Louisiana USA

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

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2009WR008490/fullpdf

Reference46 articles.

1. A simple graphical method to explore tail-dependence in stock-return pairs;Abberger;Appl. Financ. Econ.,2005

2. Maximum likelihood estimates for a multivariate normal distribution when some observations are missing;Anderson;J. Am. Stat. Assoc.,1957

3. Bivariate extreme-value data and the station-year method;Buishand;J. Hydrol.,1984

4. Chowdhary , H. 2010 Copula-based multivariate hydrologic frequency analysis Louisiana State Univ. Baton Rouge, La.

5. Bivariate gamma distributions for extending annual streamflow records from precipitation: Some large-sample results;Clarke;Water Resour. Res.,1980

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