SARIMA

What is SARIMA?

SARIMA is an extension of the forecasting algorithm, ARIMA, that incorporates seasonality into the forecasting process. It is suitable for time series data that exhibit recurring patterns over specific periods, such as daily, weekly or monthly.

What are the components of SARIMA?

The steps involved in the SARIMA algorithm are similar to ARIMA, with an additional seasonal differencing step:

• Seasonal Differencing: In addition to regular differencing, seasonal differencing is applied to remove the seasonal patterns from the data.
• Autoregressive (AR), Moving Average (MA), and Seasonal components: After seasonal differencing, the AR, MA, and seasonal components are applied to capture autocorrelation, moving average, and seasonal patterns.