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    <title>topic Re: ARIMA in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA/m-p/442383#M3045</link>
    <description>&lt;P&gt;Hi, the code is very easy to generate with the point-and-click interface provided by the Forecasting Tasks in SAS Studio. See my signature for more information.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;/*
 *
 * Task code generated by SAS Studio 3.6 
 *
  *
 */


ods noproctitle;
ods graphics / imagemap=on;

proc sort data=SASHELP.AIR out=Work.preProcessedData;
	by DATE;
run;

proc arima data=Work.preProcessedData plots
    (only)=(series(corr crosscorr) residual(corr normal) 
		forecast(forecastonly));
	identify var=AIR(1);
	estimate p=(1 2) (12) q=(1) (12) method=ML;
	forecast lead=12 back=0 alpha=0.05 id=DATE interval=month;
	outlier;
	run;
quit;

proc delete data=Work.preProcessedData;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
    <pubDate>Mon, 05 Mar 2018 15:03:49 GMT</pubDate>
    <dc:creator>mitrov</dc:creator>
    <dc:date>2018-03-05T15:03:49Z</dc:date>
    <item>
      <title>ARIMA</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA/m-p/442040#M3043</link>
      <description>&lt;P&gt;Hi everybody!&lt;/P&gt;&lt;P&gt;My ARIMA model has both seasonal and nonseasonal factors (p,d,q)(P,D,Q)s&amp;nbsp;&lt;/P&gt;&lt;P&gt;and model has following parameters&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;(2,1,1)(1,0,1)12&amp;nbsp;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;Has anybody know how will code looks like?&lt;/P&gt;</description>
      <pubDate>Sat, 03 Mar 2018 11:53:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA/m-p/442040#M3043</guid>
      <dc:creator>jopo12345678</dc:creator>
      <dc:date>2018-03-03T11:53:17Z</dc:date>
    </item>
    <item>
      <title>Re: ARIMA</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA/m-p/442383#M3045</link>
      <description>&lt;P&gt;Hi, the code is very easy to generate with the point-and-click interface provided by the Forecasting Tasks in SAS Studio. See my signature for more information.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;/*
 *
 * Task code generated by SAS Studio 3.6 
 *
  *
 */


ods noproctitle;
ods graphics / imagemap=on;

proc sort data=SASHELP.AIR out=Work.preProcessedData;
	by DATE;
run;

proc arima data=Work.preProcessedData plots
    (only)=(series(corr crosscorr) residual(corr normal) 
		forecast(forecastonly));
	identify var=AIR(1);
	estimate p=(1 2) (12) q=(1) (12) method=ML;
	forecast lead=12 back=0 alpha=0.05 id=DATE interval=month;
	outlier;
	run;
quit;

proc delete data=Work.preProcessedData;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Mon, 05 Mar 2018 15:03:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/ARIMA/m-p/442383#M3045</guid>
      <dc:creator>mitrov</dc:creator>
      <dc:date>2018-03-05T15:03:49Z</dc:date>
    </item>
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