## ARIMA

Solved
Occasional Contributor
Posts: 16

# ARIMA

Hi everybody!

My ARIMA model has both seasonal and nonseasonal factors (p,d,q)(P,D,Q)s

and model has following parameters (2,1,1)(1,0,1)12

Has anybody know how will code looks like?

Accepted Solutions
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Solution
‎03-16-2018 09:43 AM
SAS Employee
Posts: 62

## Re: ARIMA

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.

``````/*
*
* 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;``````

All Replies
Highlighted
Solution
‎03-16-2018 09:43 AM
SAS Employee
Posts: 62

## Re: ARIMA

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.

``````/*
*
* 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;``````
☑ This topic is solved.