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Re: nonlinearmodelfit problem

• To: mathgroup at smc.vnet.net
• Subject: [mg126096] Re: nonlinearmodelfit problem
• From: "M.Roellig" <markus.roellig at googlemail.com>
• Date: Tue, 17 Apr 2012 06:02:49 -0400 (EDT)
• Delivered-to: l-mathgroup@mail-archive0.wolfram.com
• References: <jm4vr2$2j0$1@smc.vnet.net>

On Thursday, April 12, 2012 12:16:02 AM UTC+2, L. Mattera wrote:
> Hi
> 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
> http://forums.wolfram.com/mathgroup/archive/2011/Sep/msg00555.html (and 
> 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 
> residuals,
> 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
> best regards
> L. Mattera

Hi,

you could try to fit in the logarithmic domain.

Markus

• Follow-Ups:
  • Re: nonlinearmodelfit problem
    • From: "Dan O'Brien" <danobrie@gmail.com>