SARIMA, which stands for Seasonal AutoRegressive Integrated Moving Average, is an extension of the ARIMA model that accounts for seasonality in time series data. It combines non-seasonal and seasonal components to provide a more robust modeling approach, allowing analysts to capture patterns and trends that recur at specific intervals. This makes SARIMA particularly useful in situations where data exhibits seasonal fluctuations, enabling more accurate forecasting.
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