- To: mathgroup at smc.vnet.net
- Subject: [mg125974] nonlinearmodelfit problem
- From: "L. Mattera" <mattera at fisica.unige.it>
- Date: Wed, 11 Apr 2012 18:15:18 -0400 (EDT)
- Delivered-to: firstname.lastname@example.org
my name is Lorenzo Mattera, I am using since a short time Mathematica.
I am trying to solve a fitting problem where two sets of data have to be
fitted by two models depending on the same parameters.
I found very helpful the suggestions reported at
references therein) so that I was able to
produce a working procedure. However, I have a "small" problem:
the two set of data have quite different weights as one is in the
0-100000 range while the other is in the 0-1 range so that one of the two is
irrelevant in the fitting procedure.
It seems to me that NonlinearModelFit minimizes the sum of the squared
any way to minimize the squared normalized residuals?
Perhaps is one of the options, but so far I could not find it.
Tank you for the help
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