Mixed General Extreme Value Distribution for Estimation of Future Precipitation Quantiles Using a Weighted Ensemble - Case Study of the Lim River Basin (Serbia)
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DOI: 10.1007/s11269-019-02277-w
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- Milan Stojković & Stevan Prohaska & Nikola Zlatanović, 2017. "Estimation of flood frequencies from data sets with outliers using mixed distribution functions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(11), pages 2017-2035, August.
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Cited by:
- Tao Gao & Yifei Xu & Huixia Judy Wang & Qiaohong Sun & Lian Xie & Fuqiang Cao, 2022. "Combined Impacts of Climate Variability Modes on Seasonal Precipitation Extremes Over China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2411-2431, May.
- Sweta Rai & Alexis Hoffman & Soumendra Lahiri & Douglas W. Nychka & Stephan R. Sain & Soutir Bandyopadhyay, 2024. "Fast parameter estimation of generalized extreme value distribution using neural networks," Environmetrics, John Wiley & Sons, Ltd., vol. 35(3), May.
- Dai, Baorui & Xia, Ye & Li, Qi, 2022. "An extreme value prediction method based on clustering algorithm," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
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Keywords
Extreme precipitation; Quantiles; Mixed GEV distribution; Climate change; Lim River basin;All these keywords.
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