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Comparison of short-term streamflow forecasting using stochastic time series, neural networks, process-based, and Bayesian models |
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Title: |
Comparison of short-term streamflow forecasting using stochastic time series, neural networks, process-based, and Bayesian models |
Author: |
Wagena, Moges B. Goering, Dustin Collick, Amy S. Bock, Emily Fuka, Daniel R. Buda, Anthony Easton, Zachary M. |
Appeared in: |
Environmental modelling & software |
Paging: |
Volume 126 () nr. C pages p. |
Year: |
2020 |
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Publisher: |
Elsevier Ltd |
Source file: |
Elektronische Wetenschappelijke Tijdschriften |
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