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Re: Curve fitting

  • To: mathgroup at
  • Subject: [mg29374] Re: [mg29323] Curve fitting
  • From: "Mark Harder" <harderm at>
  • Date: Fri, 15 Jun 2001 02:23:43 -0400 (EDT)
  • Sender: owner-wri-mathgroup at

    To get just the best-fit parameters plugged into your (nonlinear)
function, you can use NonlinearFit. To get the parameters with statistics of
the result, use NonlinearRegress.  Both are in the Statistics`NonlinearFit
-mark harder

-----Original Message-----
From: Tobin Fricke <tobin at>
To: mathgroup at
Subject: [mg29374] [mg29323] Curve fitting

>I'd like to find the parameters C1, C2, C3, C4, C5, such that the
>expression "C1*Exp[x/C2] + C3*Exp[x/C4] + C5" best approximates a given
>function (or, more directly, the distribution of a data series).  Any help
>would be greatly appreciated.  (This is like the Poisson distribution, but
>for two random variables, plus a constant offset... I think.)

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