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The AutoCorrelation Function and Partial AutoCorrelation Function pertain to the correlation of a time series with itself at different lags. They are used to detect non-independence & suggest p, d, q terms in the Box-Jenkins approach to ARIMA modeling.

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ACF and PACF interpretation

Click for ACF image 2 These are my ACF and PACF of my data set . Can any one help me determine whether the data is stationary ? if so What order of AR , MA ?
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