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There is a continuing need to improve the quality of stochastic models for quantitative river flow modelling and forecasting. Since these time series are nonlinear in general, it is also possible to explore the fitting, forecasting and simulation performance of models, which account for the potential of heteroscedasticity in these series. Due to the nonlinearity of the runoff process such analysis needs to be conducted on a case-by-case basis. The goal of this case study is to test a methodology for stochastic mod...