? armax(4, 0, BNS, null, 1, 1, 0, 1, 0) ===============================================
Information Criteria of ARMAX(p,q) for BNS
----------------------------------------------- p, q AIC BIC
HQC ----------------------------------------------- 0, 0 -897.5101 -894.2371*
-896.1849 1, 0 -903.7795 -893.9605 -899.8039* 2, 0 -904.8233*
-891.7313 -899.5225 3, 0 -902.8336 -886.4686 -896.2076 4, 0
-900.8349 -881.1969 -892.8837 =============================================== *
indicates best models
Can you inform about sample size?
--- Оригінальне повідомлення ---
Від кого: Tim Nall < tnall.ling(a)gmail.com >
Дата: 26 квітня 2014, 15:55:09
This one likes to crash (attached as text file). I wonder, is armax_auto aware of the
sample range I selected via GUI? Not that it matters to me, but it may be important.
TMN
On Sat, Apr 26, 2014 at 8:15 PM, < oleg_komashko(a)ukr.net > wrote:
Can you supply the data set? As attachment, may be.
--- Оригінальне повідомлення ---
Від кого: "Tim Nall" < tnall.ling(a)gmail.com >
Дата: 26 квітня 2014, 13:19:16
Thanks to all for the replies. Will try to find TRAMO. meanwhile, the
armax-auto option occasionally generates this error:
? armax(4, 4, BOTH, null, 1, 1, 0, 1, 0)
BFGS: initial value of objective function is not finite
*** error in function armax, line 82
loop q = 0..maxq
On Sat, Apr 26, 2014 at 4:46 PM, Riccardo (Jack) Lucchetti
< r.lucchetti(a)univpm.it > wrote:
On Sat, 26 Apr 2014, oleg_komashko(a)ukr.net wrote:
> You can use armax_auto (see time series menu in Gretl GUI). The function
> has a drawback: the cycle crushes on encountering a unit root in MA part of
> the model Also you can use auto.arima{forecast} in R My experience tells it
> would be better to determine the order of integration (use unit root tests)
> beforehand and use, say "d=1" in auto.arima (type ?auto.arima in R
console)
That's a function package, you may need to install it first: go to
Files>Function Files>On server.
-------------------------------------------------------
Riccardo (Jack) Lucchetti
Dipartimento di Scienze Economiche e Sociali (DiSES)
Università Politecnica delle Marche
(formerly known as Università di Ancona)
r.lucchetti(a)univpm.it
http://www2.econ.univpm.it/servizi/hpp/lucchetti
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Best regards,
Timothy M. Nall
Assistant Professor
National Quemoy University
Kinmen, Taiwan
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--
Best regards,
Timothy M. Nall
Assistant Professor
National Quemoy University
Kinmen, Taiwan _______________________________________________
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