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Continue to study the construction and application of the SARIMA model in depth, and further understand that before using the ACF and PACF graphs to determine the model parameters, seasonal differences must be performed to eliminate the seasonal trend in the time series. After seasonal differences, use the ACF and PACF graphs to determine whether there is still non-seasonal autocorrelation or partial autocorrelation, so as to decide whether a non-seasonal difference is needed.

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