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<p>generated with RStudio as</p>

<pre><code>#####Intution:

&gt; **[Identification of an MA model is often best done with the ACF rather
&gt; than the PACF]((https://onlinecourses.science.psu.edu/stat510/node/62))**.
&gt; 
&gt; For an MA model, the theoretical PACF does not shut off, but instead
&gt; tapers toward 0 in some manner.  A clearer pattern for an MA model is
&gt; in the ACF.  The ACF will have non-zero autocorrelations only at lags
&gt; involved in the model.
&gt; 
&gt; A moving average term in a time series model is a past error (multiplied by a coefficient).

The $q^{\text{th}}$-order moving average model, denoted by MA(q) is
</code></pre>
