Utilization of the Copula-Based Composite Likelihood Approach to Improve Design Precipitation Estimates Accuracy
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-019-02416-3.pdf
Reference45 articles.
1. Bayazit M (2015) Nonstationarity of hydrological records and recent trends in trend analysis: a state-of-the-art review. Environ Process 2(3):527–542. https://doi.org/10.1007/s40710-015-0081-7
2. Chowdhary H, Singh V (2009) Copula Approach for Reducing Uncertainty in Design Flood Estimates in Insufficient Data Situations. World Environmental and Water Resources Congress 2009: Great Rivers. American Society of Civil Engineers pp:4758–4771. https://doi.org/10.1061/41036(342)480
3. Chowdhary H, Singh VP (2010) Reducing uncertainty in estimates of frequency distribution parameters using composite likelihood approach and copula-based bivariate distributions. Water Resour Res 46(11):W11516. https://doi.org/10.1029/2009WR008490
4. Clarke RT (1980) Bivariate gamma distributions for extending annual Streamflow records from precipitation: some large sample results. Water Resour Res 16(5):863–870. https://doi.org/10.1029/WR016i005p00863
5. Dikbas F, Firat M, Koc A C, Gungor M (2012) Classification of precipitation series using fuzzy cluster method. Int J Climatol 32(10):1596–1603
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