[SciPy-user] nonlinear fit with non uniform error?
massimo sandal
massimo.sandal at unibo.it
Thu Jun 21 09:14:52 EDT 2007
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"
snail mail:
Via Irnerio 48, 40126 Bologna, Italy
email:
massimo.sandal at unibo.it
tel: +39-051-2094388
fax: +39-051-2094387
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