## Abstract A hybrid model that blends two nonβlinear dataβdriven models, i.e. an artificial neural network (ANN) and a moving block bootstrap (MBB), is proposed for modelling annual streamflows of rivers that exhibit complex dependence. In the proposed model, the annual streamflows are modelled in
Shot noise models for the generation of synthetic streamflow data
β Scribed by Weiss, Gideon
- Book ID
- 119736222
- Publisher
- American Geophysical Union
- Year
- 1977
- Tongue
- English
- Weight
- 634 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0043-1397
No coin nor oath required. For personal study only.
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