SARIMA (Seasonal Autoregressive Integrated Moving Average) is a statistical method used for analyzing and forecasting time series data that exhibits seasonality. It extends the ARIMA model to explicitly account for seasonal patterns in the data. It is commonly used in economics, finance, and environmental science to predict future values based on historical observations.
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