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Constrained non linear regression using ML
From: |
Corrado |
Subject: |
Constrained non linear regression using ML |
Date: |
Tue, 16 Mar 2010 19:01:38 +0000 |
User-agent: |
Thunderbird 2.0.0.23 (X11/20090817) |
Dear Octave users,
I have to fit the non linear regression:
y~1-exp(-(k0+k1*p1+k2*p2+ .... +kn*pn))
where ki>=0 for each i in [1 .... n] and pi are on R+.
I am using, at the moment, nls, but I would rather use a Maximum
Likelhood based algorithm. The error is not necessarily normally
distributed.
y is approximately beta distributed, and the volume of data is medium to
large (the y,pi may have ~ 40,000 elements).
Any suggestion?
Regards
--
Corrado Topi
PhD Researcher
Global Climate Change and Biodiversity
Area 18,Department of Biology
University of York, York, YO10 5YW, UK
Phone: + 44 (0) 1904 328645, E-mail: address@hidden
- Constrained non linear regression using ML,
Corrado <=
- Re: Constrained non linear regression using ML, Fredrik Lingvall, 2010/03/17
- Re: Constrained non linear regression using ML, Corrado, 2010/03/17
- Re: Constrained non linear regression using ML, Fredrik Lingvall, 2010/03/17
- Re: Constrained non linear regression using ML, Corrado, 2010/03/17
- Re: Constrained non linear regression using ML, Jaroslav Hajek, 2010/03/17
- Re: Constrained non linear regression using ML, Corrado, 2010/03/17
- Re: Constrained non linear regression using ML, Jaroslav Hajek, 2010/03/17
- Re: Constrained non linear regression using ML, Fredrik Lingvall, 2010/03/17
- Re: Constrained non linear regression using ML, Michael Creel, 2010/03/17
- Re: Constrained non linear regression using ML, Fredrik Lingvall, 2010/03/18