[SciPy-user] nonlinear fit with non uniform error?

[massimo sandal]

Matthieu Brucher ha scritto:
>     1)Does this mean that least squares is NOT ok?
> 
> Yes, LS is _NOT_ OK because it assumes that the distribution (with its 
> parameters) is the same for all errors. I don't remember exactly, but 
> this may be due to ergodicity

OK. I just wanted to be sure I understood.

>     2)What does "rescaling" mean in this context?
> 
> 
> 
> You must change B and C so that :
> Ay +/- 5
> B'y +/- 5
> C'y +/- 5

Huh? How can this be possible/make sense whatsoever?

m.

-- 
Massimo Sandal
University of Bologna
Department of Biochemistry "G.Moruzzi"

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