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## Main Question or Discussion Point

Hello

I've measured some data, let's say f±Δf as a function of x±Δx, and I know the

I'm comfortable enough fitting the data (x,f) to the curve and finding A,B,C, but can anyone point me in the right direction to find errors for A,B,C? Is this even possible for non-linear fitting? Or is there an alternative statistical approach?

I'm going to have to use my best fit (let's say f') to calculate f'(x) for some other (precise) values of x and I'd like to know the errors of the resulting output, even if there are no errors in the input.

Thanks for anyone that can point me in the right direction.

Mike

I've measured some data, let's say f±Δf as a function of x±Δx, and I know the

*form*of f(x) but not the specific parameters, so it will be something like f(x) = (A/x)*exp(-B/x + C), I think.I'm comfortable enough fitting the data (x,f) to the curve and finding A,B,C, but can anyone point me in the right direction to find errors for A,B,C? Is this even possible for non-linear fitting? Or is there an alternative statistical approach?

I'm going to have to use my best fit (let's say f') to calculate f'(x) for some other (precise) values of x and I'd like to know the errors of the resulting output, even if there are no errors in the input.

Thanks for anyone that can point me in the right direction.

Mike