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本文介绍了如何利用SARIMA模型处理具有季节性的单变量时间序列数据。通过ACF和pACF确定ARMA模型和季节性周期，然后进行季节性分解。根据ACF和PACF图选择SARIMA模型参数，如ARIMA(0, 1, 1)(0, 1, 1, 12)，并进行模型诊断，比较预测与实际数据，以展示模型的准确性。"
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ts10_Univariate TS模型_circle mark pAcf_ETS_unpack product_darts_bokeh band interval_ljungbox_AIC_BIC : ts10_Univariate TS模型_circle mark pAcf_ETS_unpack product_darts_bokeh band interval_ljungbox_AIC_BIC_LIQING LIN的博客-优快云博客
Forecasting univariate time series data with seasonal ARIMA
In this recipe, you will be introduced to an enhancement to the ARIMA model for handling seasonality, known as the Seasonal Autoregressive Integ
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