Mixture Gumbel models for extreme series including infrequent phenomena
Author:
Affiliation:
1. Department of Architecture and Civil Engineering, University of Bath, Bath, UK
2. Department of Civil and Environmental Engineering, Yonsei University, Seoul, South Korea
3. Department of Mathematical Sciences, University of Bath, Bath, UK
Funder
University of Bath Global Mobility Grant
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2018.1546956
Reference27 articles.
1. Hydrological Processes
2. Mixed populations and annual flood frequency estimates in the western United States: The role of atmospheric rivers
3. Selection of the probabilistic model of extreme floods: The case of the River Tiber in Rome
4. Factors affecting choice of distribution for flood series
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