Partial autocorrelation function

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In time series analysis, the partial autocorrelation function plays an important role in data analyses aimed at identifying autoregressive models and autoregressive moving average models. The use of this function was introduced as part of the Box-Jenkins approach to time series modelling.

[edit] See also

• Partial correlation
• Box-Jenkins