Seasonal ARIMA (SARIMA)

Seasonal ARIMA (SARIMA) is a statistical method used to forecast time series data that exhibits regular patterns over certain periods, such as sales increasing during holidays or temperatures changing with the seasons. It extends the basic ARIMA model by incorporating seasonal components—accounting for repeated patterns at specific intervals—along with non-seasonal trends. SARIMA analyzes past data, captures both short-term fluctuations and long-term seasonal cycles, and then predicts future values. This approach helps businesses and analysts understand and anticipate recurring seasonal behaviors in various types of data.