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Testing and modelling autoregressive conditional heteroskedasticity of streamflow processes
autoregressive conditional heteroskedasticity streamflow processes
2009/11/9
Conventional streamflow models operate under the assumption of constant variance or season-dependent variances (e.g. ARMA (AutoRegressive Moving Average) models for deseasonalized streamflow series an...
Combination of a Conceptual Model and an Autoregressive Error Model for Improving Short Time Forecasting
Combination Conceptual Model Autoregressive Error Model
2009/10/28
An autoregressive error model has been tested on the residuals of the conceptual
HBV-model for the EmAn catchment. The autoregresslve model gives
considerable improvements for real shorttime forecas...
Nested Threshold Autoregressive (NeTAR) Models for Studying Sources of Nonlinearity in Streamflows
Nested Threshold Autoregressive Models Sources of Nonlinearity Streamflows
2009/10/23
Historical development of nonlinear stochastic modeling of streamflows is discussed.
Physical considerations and graphical investigations of daily streamflows
revealed that air temperature and state...
COUPLED WAVELET-AUTOREGRESSIVE MODEL FOR ANNUAL RAINFALL PREDICTION
autoregressive Wavelet - AR Model ANNUAL RAINFALL
2009/10/12
Because rainfall is one of the most significant parameters in a hydrological model, several stochastic models have been developed to analyze and predict the rainfall process. In recent years, wavelet ...