Fitting a Function with no closed form

*To*: mathgroup at smc.vnet.net*Subject*: [mg98633] Fitting a Function with no closed form*From*: Adam Dally <adally at wisc.edu>*Date*: Wed, 15 Apr 2009 04:57:22 -0400 (EDT)

I have a histogram which I am trying to fit with a convoluted function. I get out the list of bin counts easy enough, but I can't figure out a way to fit the function to the data. This is the function: F(x)=Re[NIntegrate [normalizer*(E0 - u)^2 Sqrt[1 - m^2/(E0 - u)^2]*Exp[(-((x - u)^2/(2 \[Sigma]^2)))/(Sqrt[2 \[Pi]] \[Sigma])], {u, 0, E0}]] "E0" and "sigma" are known constants. "Normalize" and "m" are the fitting parameters. I can get a plot or of a table of values out of the function by: Plot[F(x),{x, minRange, maxRange}] Table[F(x),{x, minRange, maxRange, binWidth}] Is there a way to fit using a function like this? I would also like to error bars on the fit parameters. Thank you, Adam Dally

**Follow-Ups**:**Re: Fitting a Function with no closed form***From:*Darren Glosemeyer <darreng@wolfram.com>