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What is Understanding ARIMA Components about?

ARIMA (AutoRegressive Integrated Moving Average) is a time series forecasting model characterized by three components: AR (p), I (d), and MA (q). It is suitable for univariate data with trends but no seasonality, requiring the data to be made stationary. The model can be extended to SARIMA for seasonality and ARIMAX for including exogenous variables.

Author

Deepa Ravindran

Language

EN