(ARIMA) model has been used with the same data sets. The comparison has been made by Root Mean Squared Errors (RMSE) of the … models. Results showed that hybrid WNF model forecasts the streamflow more accurately than ARIMA model. Copyright Springer …

of two methods, Singular Spectrum Analysis (SSA) and Auto Regressive Integrated Moving Average (ARIMA). In this model … periodic motions by using SSA and then each sub-series is predicted, respectively, through an appropriate ARIMA model, and … lastly a correction procedure is conducted for the sum of the prediction results to ensure the superposed residual to be a …

Average (ARIMA) and its derivative Seasonal ARIMA. Remote sensing data were downloaded from European Space Agency (ESA) and … monthly basis for daily evapotranspiration estimation. The application of the most adequate ARIMA (2,1,2) to the … daily evapotranspiration data set showed a seasonality behavior and thus, using seasonal ARIMA [(2,1,2) (1,1,2)6] was the …

parametric and non-parametric tests. Mostly, we cannot reject the trend stationarity hypothesis. There is no uniform trend on …

exogenous input (ARX) and Box-Jenkins (BJ) models are employed with the same mentioned inputs for prediction purpose. In … applied to investigate capability of intelligent nonlinear methods for lake level changes prediction. All models performances …

more favorable performance than the traditional experienced method did. Overall, the proposed two-stage prediction model …