[R] ARIMA fitting

2007-08-09 Thread laura
Hello,
I‘m trying to fit an ARIMA process, using STATS package, arima function.
Can I expect, that fitted model with any parameters is stationary, causal
and invertible?

Thanks

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Re: [R] ARIMA fitting

2007-08-09 Thread Prof Brian Ripley

On Tue, 7 Aug 2007, [EMAIL PROTECTED] wrote:


Hello,
I‘m trying to fit an ARIMA process, using STATS package, arima function.
Can I expect, that fitted model with any parameters is stationary, causal
and invertible?


Please read ?arima: it answers all your questions, and points out that the 
answer depends on the arguments passed to arima().


The posting guide did ask you to do this *before* posting: please study it 
more carefully.


--
Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595__
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[R] ARIMA() fitting with XREG

2004-06-22 Thread Jan Verbesselt
Hi R-helpers,

I would like to derive a realistic R² between X(t)(time serie1) and
Y(t)(time serie2) from a fitted ARIMA model.

The actual ARIMA model is constructed like this;
Y[t] = a[1]Y[t-1] + ... + a[p]Y[t-p] + k*X(t)
 
*Y=Serie2
*X=Serie1=Xreg
*AR(p=8)

The correlation between X(t)(serie1) and Y(t)(serie2) is given by how a
large part of the variance is explained:  k*X(t)/a(p) (a(p)= AR(8)).
If this is correct, how could I decompose the model to obtain this?

Thanks a lot!
Jan

 regressie1$arma
ar ma sar sma period diff sdiff
8  0   0   0 360 2


___
Jan Verbesselt 
Research Associate 
Lab of Geomatics and Forest Engineering K.U. Leuven
Vital Decosterstraat 102. B-3000 Leuven Belgium 
Tel:+32-16-329750   Fax: +32-16-329760
http://gloveg.kuleuven.ac.be/

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