Hi, Thanks for quick reply. First i realized my basic mistakes :), now i have changed script, which is given below
scalar a = -0.5*log(2*pi) scalar m=mean(vsat) scalar mu=m/2 scalar sigma=m/mu mle logl=a-log(sigma)-(sq1/sq) series s=sigma^2 series sq=2*s series s3=sigma^3 series c=vsat-mu series sq1=c^2 params mu sigma end mle --hessian if I run this i have same error of "*The convergence criterion was not met"* *But* if i choose in "preferences" L-BFGS-B , it works properly and give me results. I do not know reason but it works now :), if you can explain me the reason behind it, I will be thankful to you. Ciao! haider On 10 May 2010 17:07, Allin Cottrell <cottrell(a)wfu.edu> wrote: > > On Mon, 10 May 2010, RAZIA HAIDER wrote: > > > I am new to gretl, i want to use its MLE for estimation. I have written > > small script just to check that how MLE works but i have following error > > message (criterion is not met a warning ). I have used sample data set > data > > 2-1.gdt. here is my scrpit. > > > > genr pi=3.14 > > scalar a=2*pi > > scalar mu=1 > > scalar sigma=1 > > series s=sigma^2 > > sereis sq=2*s > > series s3=sigma^3 > > scalar sq3=2*s3 > > series c=vsat-mu > > series sq1=c^2 > > > > mle logl=-0.5*log(a)-log(sigma)-(sq1/sq) > > deriv mu=-c/s > > deriv sigma=-1/sigma + (sq1/s3) > > end mle > > Please post a script that actually runs. The above has some basic > errors and will not get as far as producing a numerical error from > the mle command. > > It fails first at "sereis sq=2*s". That typo is easily fixed, but > it then fails at "scalar sq3=2*s3". This is a type error: s3 is a > series so the formula "2*s3" yields a series result, which cannot > be coerced to a scalar. However, since sq3 is not actually used > below this line can be deleted. > > Then we hit "vsat", which is presumably a data series. To > replicate your results, we need to know where that is coming from. > > All that said, your mle block is not set up correctly. You have > > mle logl=-0.5*log(a)-log(sigma)-(sq1/sq) > deriv mu=-c/s > deriv sigma=-1/sigma + (sq1/s3) > end mle > > It looks as if you are trying to estimate mu and sigma, but mu is > given no role in the loglikelihood so this cannot work. In > addition "sq" is apparently a function of sigma but it is not > updated within the mle block. Before the "deriv" lines you need to > update any quantities in the "logl" expression that depend on mu > and sigma. > > Also note that "pi" is a built-in constant in gretl; you don't > need to define it yourself, nor do you need to calculate log(a) > within the mle block; it would suffice to do something like > > scalar a = -0.5*log(2*pi) > > before the mle block, then express logl as "a + ...". > > Allin Cottrell > > > > > _______________________________________________ > Gretl-users mailing list > Gretl-users(a)lists.wfu.edu > http://lists.wfu.edu/mailman/listinfo/gretl-users > -- Razia Haider Ph.D. student Dipartimento di Ingegneria dell'Informazione Universita' di Modena e Reggio Emilia Via Vignolese 905, 41100 Modena, Italy e-mail: razia.haider(a)unimo.it tel: +39 059 2056314
Hi,
Thanks for quick reply. First i realized my basic mistakes :), now i have changed script, which is given below
scalar a = -0.5*log(2*pi)
scalar m=mean(vsat)
scalar mu=m/2
scalar sigma=m/mu
scalar mu=m/2
scalar sigma=m/mu
mle logl=a-log(sigma)-(sq1/sq)
series s=sigma^2
series sq=2*s
series s3=sigma^3
series c=vsat-mu
series sq1=c^2
params mu sigma
end mle --hessian
if I run this i have same error of "The convergence criterion was not met"
But
if i choose in "preferences" L-BFGS-B , it works properly and give me results.
I do not know reason but it works now :), if you can explain me the reason behind it, I will be thankful to you.
Ciao!
haider
On 10 May 2010 17:07, Allin Cottrell <cottr...@wfu.edu> wrote:
Please post a script that actually runs. The above has some basic
On Mon, 10 May 2010, RAZIA HAIDER wrote:
> I am new to gretl, i want to use its MLE for estimation. I have written
> small script just to check that how MLE works but i have following error
> message (criterion is not met a warning ). I have used sample data set data
> 2-1.gdt. here is my scrpit.
>
> genr pi=3.14
> scalar a=2*pi
> scalar mu=1
> scalar sigma=1
> series s=sigma^2
> sereis sq=2*s
> series s3=sigma^3
> scalar sq3=2*s3
> series c=vsat-mu
> series sq1=c^2
>
> mle logl=-0.5*log(a)-log(sigma)-(sq1/sq)
> deriv mu=-c/s
> deriv sigma=-1/sigma + (sq1/s3)
> end mle
errors and will not get as far as producing a numerical error from
the mle command.
It fails first at "sereis sq=2*s". That typo is easily fixed, but
it then fails at "scalar sq3=2*s3". This is a type error: s3 is a
series so the formula "2*s3" yields a series result, which cannot
be coerced to a scalar. However, since sq3 is not actually used
below this line can be deleted.
Then we hit "vsat", which is presumably a data series. To
replicate your results, we need to know where that is coming from.
All that said, your mle block is not set up correctly. You have
It looks as if you are trying to estimate mu and sigma, but mu is
mle logl=-0.5*log(a)-log(sigma)-(sq1/sq)
deriv mu=-c/s
deriv sigma=-1/sigma + (sq1/s3)
end mle
given no role in the loglikelihood so this cannot work. In
addition "sq" is apparently a function of sigma but it is not
updated within the mle block. Before the "deriv" lines you need to
update any quantities in the "logl" _expression_ that depend on mu
and sigma.
Also note that "pi" is a built-in constant in gretl; you don't
need to define it yourself, nor do you need to calculate log(a)
within the mle block; it would suffice to do something like
scalar a = -0.5*log(2*pi)
before the mle block, then express logl as "a + ...".
Allin Cottrell
_______________________________________________
Gretl-users mailing list
gretl-us...@lists.wfu.edu
http://lists.wfu.edu/mailman/listinfo/gretl-users
--
Razia Haider
Ph.D. student
Dipartimento di Ingegneria dell'Informazione
Universita' di Modena e Reggio Emilia
Via Vignolese 905, 41100 Modena, Italy
e-mail: razia.hai...@unimo.it
tel: +39 059 2056314
