From: rsermer on
I have a question regarding Proc ARIMA - I would like to forecast for
many by groups and was wondering if there is a way to automate the
model fitting process. Maybe by outputting the autocorrelations to see
if they are decreasing towards zero and then outputting the p+d and q
to fit into the model for each by group. Or am I oversimplifying this
and each iteration needs to be reviewed for stationarity and the model
fitted by hand?

This is what I have for code:

PROC ARIMA DATA = forecast;
BY on_off region;
I VAR = losses SCAN;
RUN;


Thanks for your help.
From: Wensui Liu on
in your situation, you should take a look at HPF procedure.

On Thu, Jan 21, 2010 at 2:03 PM, rsermer(a)gmail.com <rsermer(a)gmail.com> wrote:
> I have a question regarding Proc ARIMA - I would like to forecast for
> many by groups and was wondering if there is a way to automate the
> model fitting process. Maybe by outputting the autocorrelations to see
> if they are decreasing towards zero and then outputting the p+d and q
> to fit into the model for each by group. Or am I oversimplifying this
> and each iteration needs to be reviewed for stationarity and the model
> fitted by hand?
>
> This is what I have for code:
>
> PROC ARIMA DATA = forecast;
> BY on_off region;
> I VAR = losses SCAN;
> RUN;
>
>
> Thanks for your help.
>



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WenSui Liu
Blog : statcompute.spaces.live.com
Tough Times Never Last. But Tough People Do. - Robert Schuller
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