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From | Carlos Aller <caller@merlin.fae.ua.es> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: RE: Normal CDF |
Date | Mon, 14 Nov 2011 12:10:21 +0100 |
El 14/11/2011 12:05, Nick Cox escribió:
I need that the argument of the function is as negative as possible in order to ensure concavity of the likelihood function I am estimating. For this, I need a probit with a very negative cut-off, and I get this with a normal (-1000,1), for example.I think you want -normal(x - A)-. Nick n.j.cox@durham.ac.uk Carlos Aller Do you know how to compute the Normal CDF for the non-standard case? I mean, Stata provides "normal(x)", assuming standard normal (0,1), but I'd like to compute normal x, for a normal distribution (A,1), where A is different from zero. * * 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/
Carlos. * * 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/