LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (August 2006)Back to main SPSSX-L pageJoin or leave SPSSX-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Fri, 25 Aug 2006 09:55:09 +0200
Reply-To:     Spousta Jan <JSpousta@CSAS.CZ>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Spousta Jan <JSpousta@CSAS.CZ>
Subject:      Re: (C)NLR with log-likelihood loss function
Comments: To: Gary Rosin <grosin@stcl.edu>
Content-Type: text/plain; charset="us-ascii"

Hi Gary,

If I am not mistaken, this is just what is LOGISTIC REGRESSION command for. Why not to try it instead of torturing nonlinear regression?

LOGISTIC REGRESSION y /METHOD = ENTER x1 x2 .

Greetings

Jan

-----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Gary Rosin Sent: Friday, August 25, 2006 4:55 AM To: SPSSX-L@LISTSERV.UGA.EDU Subject: (C)NLR with log-likelihood loss function

I'm trying to use nonlinear regression to fit a regression using the logit transformation (0<y<1):

y = 1/(1+exp(-(b0+b1*x1+b2*x2)))

I'm using SPSS 14.0.2, and need a macro/syntax that will let me use log-likelihood as the loss function. The data is in the form of cases with y(i), x1(i), and x2(i).

Any suggestions?

--- Prof. Gary S. Rosin grosin@stcl.edu South Texas College of Law 1303 San Jacinto Voice: (713) 646-1854 Houston, TX 77002-7000 Fax: 646-1766


Back to: Top of message | Previous page | Main SPSSX-L page