JOURNAL ARTICLE
Forecasting daily river flows using nonlinear time series models
Year: 2015 Journal: Journal of Hydrology Vol: 527 Pages: 1054-1072 Publisher: Elsevier BV
Keywords:
Akaike information criterion SETAR Autoregressive model Bayesian information criterion Nonlinear autoregressive exogenous model STAR model Series (stratigraphy) Bayesian probability Time series Statistics Autoregressive integrated moving average Mathematics Computer science Econometrics
Metrics
41
Cited By
1.01
FWCI (Field Weighted Citation Impact)
98
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Hydrological Forecasting Using AI
Physical Sciences → Environmental Science → Environmental Engineering
Hydrology and Watershed Management Studies
Physical Sciences → Environmental Science → Water Science and Technology
Hydrology and Drought Analysis
Physical Sciences → Environmental Science → Global and Planetary Change
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