Frequency analysis of nonstationary annual maximum flood series using the time‐varying two‐component mixture distributions

By Lei Yan, Lihua Xiong, Dedi Liu, T. Hu, Chong-yu Xu. 2017

71 citations recorded by the source corpus.

Subfields: Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/2a28eb2cc0906b583c3acf1db54ebec65f82344d

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In Global and Planetary Change

1. Xiaohu Wen
2. Qi Feng
3. Jianhua Si
4. Zhi-bin He
5. Lin-shan Yang
6. Zhenliang Yin
7. Ravinesh C. Deo
8. Ozgur Kisi

Citations in the corpus

• Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment (2018, background): “At the same time, river flow forecasting has always been a challenge, because the hydrological time series data are complicated and nonstationary, subject to the catchment characteristics and climate variability (Lima and Lall 2010; Yan et al. 2017).”