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st: nonlinear maximum likelihood with ml


From   <S.Jenkins@lse.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: nonlinear maximum likelihood with ml
Date   Tue, 3 May 2011 10:22:18 +0100

------------------------------

Date: Mon, 2 May 2011 17:56:57 -0400
From: Tatyana Deryugina <tatyanad@mit.edu>
Subject: st: nonlinear maximum likelihood with ml

Is there any way to use "ml" to estimate a non-linear equation? I'm
trying to estimate the parameters of the distribution of an outcome
(Y) assuming that Y follows a Beta distribution with parameters that
depend on some X's. It's easy to write down the log likelihood
function, but the equation for Y is non-linear. If "ml" doesn't work,
I was considering using moptimize. If anyone else has any suggestions,
I'd be really grateful!

Best,
Tatyana
-----------------------------------


-ssc install betafit-


Stephen
------------------
Professor Stephen P. Jenkins <s.jenkins@lse.ac.uk>
Department of Social Policy and STICERD
London School of Economics and Political Science
Houghton Street, London WC2A 2AE, UK
Tel: +44(0)20 7955 6527
Survival Analysis Using Stata:
http://www.iser.essex.ac.uk/survival-analysis
Downloadable papers and software: http://ideas.repec.org/e/pje7.html


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