[SciPy-user] nonlinear fit with non uniform error?
Thu Jun 21 07:31:24 CDT 2007
Matthieu Brucher ha scritto:
> I guess you refer to the distribution of the error for *each single
> point*, not the distribution of the average error in the dataset for
> different points. In this case yes, it is Gaussian, so there should be
> no problem.
> It is the distribution for all errors. If it is the same distribution
> for all points, OK with least squares. If it is not, you have to scale
> the points so that the errors follow the same gaussian law.
Sigh, there is some misunderstanding between us (surely due to my utter
Imagine I have three data points, A B C.
Usually, if the error is uniform (on Y) can be:
Ay +/- 5
By +/- 5
Cy +/- 5
In my case it is:
Ay +/- 5
By +/- 7
Cy +/- 11
Now, the error in all those three cases behaves gaussianly, but with
1)Does this mean that least squares is NOT ok?
2)What does "rescaling" mean in this context?
University of Bologna
Department of Biochemistry "G.Moruzzi"
Via Irnerio 48, 40126 Bologna, Italy
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