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Time series models can be used for generating data for planning and design or estimating the future outcomes of the processes. For the stochastic modeling of hydrologic time series, various models are offered depending on the type of the time series (yearly, monthly, daily, etc.). In stochastic modeling of time series in hydrology, one of the encounter important problem encountered is the choice of the best model type between alternative models.