| To: | s-news@lists.biostat.wustl.edu |
|---|---|
| Subject: | arima estimation with splus 6.0 |
| From: | hedhili leila <hedhilileila@yahoo.fr> |
| Date: | Thu, 25 Mar 2004 15:56:07 +0100 (CET) |
|
Hello
With splus 4.0, we can estimate a seasonal arima model with the command arima.mle.
But with splus 6.0, when we use the command arima.mle to estimate a seasonal arima model, it does not produce the estimate of the coefficients :
example :
al.mod <- list(list(order=c(0,1,1)), list(order=c(0,1,1), period=12))
arima.mle(ship, model=al.mod) Call: arima.mle(x = ship, model = al.mod) Method: Maximum Likelihood Model : Coefficients:
Variance-Covariance Matrix:
ma(1) ma(12) ma(1) 1.110637e-002 8.292478e-009 ma(12) 8.292478e-009 1.160990e-002 Optimizer has converged
Convergence Type: relative function convergence AIC: 1430.20046 Leila
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