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Re: Fitting data

  • To: mathgroup at
  • Subject: [mg29580] Re: Fitting data
  • From: Albert Retey <albert.retey at>
  • Date: Wed, 27 Jun 2001 05:12:16 -0400 (EDT)
  • Organization: Visual Analysis AG
  • References: <9h401r$4a6$> <9h8m2v$qsi$>
  • Sender: owner-wri-mathgroup at

Richard wrote:
> An normal distibution wasn't a good example.
> What if I collected data from an experiment that I modeled by (for example):
> u(t)= a1 * sin(a2*t) + a3*exp(a4^3).
> How can I find a1, a2, a3 and a4 so that my function fits the data as good
> as possible?

Try NonlinearFit, it's somewhere in the Standard Packages. For me this
worked pretty welll, but better read the manueal for details. For very
difficult fitting problems you might need some better Optimization
Packages/Routines though...

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