Seasonal Autoregressive Integrated Moving Average (SARIMA)

Seasonal Autoregressive Integrated Moving Average (SARIMA) is a statistical method for analyzing and forecasting time series data. It is used when there are repeating seasonal patterns or trends. It builds on the ARIMA model by introducing seasonal components such as seasonal differencing, autoregression, and moving averages to account for seasonal fluctuations.

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