SARIMA, which stands for Seasonal Autoregressive Integrated Moving Average, is a statistical model used for forecasting time series data that exhibit seasonality. It extends the ARIMA model by adding seasonal components, making it effective for data with both trend and seasonal patterns. By including seasonal differencing and autoregressive terms, SARIMA captures the nuances of seasonal fluctuations, providing more accurate forecasts compared to non-seasonal models.
congrats on reading the definition of SARIMA. now let's actually learn it.