proper weighting for a nonlinear regression fit

Hello all,

I'm trying to fit a curve to correlation data, but the problem is that
I don't know what weighting I should apply to get a good chi-squared
fit. The data fed to the correlator is sampled logarithmically, so
that the sampling time for the data at the low end of the correlation
curve is very short compared to the sampling times for the data at the
high end. This of course means that the data at the low end has been
averaged over more intervals than the data at the high end.

Is there a good way to weight the residuals for the best possible fit?

Thanks!

.

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