[SciPy-user] nonlinear fit with non uniform error?
Thu Jun 21 05:31:55 CDT 2007
Matthieu Brucher ha scritto:
> In which sense not Gaussian? In the sense that for each point, the
> uncertainity is not Gaussian distributed? It should at least with good
> approximation be. If it is in another sense, please explain...
> If the error is not Gaussian (normally distributed, ...), least squares
> is not the "most likely" optimization (maximizing likelyhood on gaussian
> data is the same as least squares), you should use more robust cost
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
My question was different, anyway: each point can have a different error
size (i.e. sigma of gaussian distribution) respect to its neighbours.
University of Bologna
Department of Biochemistry "G.Moruzzi"
Via Irnerio 48, 40126 Bologna, Italy
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