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| From | Maarten buis <maartenbuis@yahoo.co.uk> |
| To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
| Subject | Re: st: nonlinear maximum likelihood with ml |
| Date | Tue, 3 May 2011 08:01:53 +0100 (BST) |
--- Tatyana Deryugina > 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. There is no need to program that yourself as that has already been implemented in Stata in the -betafit- package, type in Stata: ssc desc betafit Hope this helps, Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/