I am trying to fit the t-distribution to my data. Hence, I don't know the
parameters to start with because that's what I want to estimate. I was
wondering if something is available for the t along the lines of 'gammafit',
'betafit' available on the ssc website.
Thanks,
Indranil
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Nick Cox
Sent: Wednesday, April 13, 2005 10:17 AM
To: [email protected]
Subject: st: RE: Fitting a t distribution
I am puzzled by this question. But yes,
if you wish to maximize a likelihood function,
-ml- is exactly the right command. And Al
Feiveson was exactly right in pointing you
towards -tden()-.
Nick
[email protected]
Indranil Majumdar
> I am trying to maximize a log-likelihood function involving 3
> parameters (in
> particular, it is the log-likelihood of the t distribution
> with a shift and
> scale parameter). The documentation for the -ml model-
> command requires an
> equation to be specified. In my case I am not sure what that
> equation ought
> to be. My objective is to 'search' for the optimal values of the 3
> parameters - degrees of freedom, shift parameter and scale
> parameter that
> maximize the log-likelihood function.
> Is the -ml- command appropriate for this purpose? Could
> somebody clarify?
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