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Differencing is a technique used to transform a non-stationary time series into a stationary one by computing the differences between consecutive observations.

Conditions: Used when data exhibits non-stationarity.

Differencing is a technique used to transform a non-stationary time series into a stationary one by computing the differences between consecutive observations.

Conditions: Used when data exhibits non-stationarity.

Two methods are introduced for selecting model order: plotting patterns in correlation and using automatic selection techniques.

Conditions: Used when deciding how many AR and MA terms to include

Two methods are introduced for selecting model order: plotting patterns in correlation and using automatic selection techniques.

Conditions: Used when deciding how many AR and MA terms to include