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 …

(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 …

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

sediment prediction using MLP networks. However, LM was the faster (1/7 of SCG convergence time) of the two algorithms …

extensively used than Markov or ARIMA (AutoRegressive Integrated Moving Average) models commonly available for stochastic modeling … and predictions. The TS fuzzy model does not have restrictive assumptions such as the stationarity and ergodicity which … fluctuations of Istanbul city in Turkey. In the prediction procedure only lag one is considered. It is observed that the TS fuzzy …

actual value of the average annual discharge grade at Yamadu Station, which showed that the prediction was valid. It … the prediction that it was a dry year. Three physical factors were not processed using set pair analysis so they could be …> </InlineEquation> for the average annual discharge grade at Yamadu Station during 1953–1974. It’s known that the prediction of the …