On 30/12/2013 22:57, Simon Zehnder wrote:
Why not using optim on the likelihood in a) with normally distributed standard
errors and for b) optim with a likelihood with t(3)-distributed standard errors?
Because evaluating the likelihood is a tricky business here.
I don't know what is meant by
Why not using optim on the likelihood in a) with normally distributed standard
errors and for b) optim with a likelihood with t(3)-distributed standard errors?
Best
Simon
On 30 Dec 2013, at 21:19, Xuse Chuse wrote:
> Dear Users,
>
> I am trying to estimate a model Y(t)=alpha+rho*Y(t-1)+e(t)
Dear Users,
I am trying to estimate a model Y(t)=alpha+rho*Y(t-1)+e(t) where i know
e(t)~t(3).
a) I want to estimate (alpha, rho) by QML estimation assuming (wrongly)
that e(t)~N(0,sigma2) and calculate the standard errors.
b) Estimate (alpha, rho) by ML estimation assuming (correctly) e(t)~t(3)
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