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

Matthieu Brucher matthieu.brucher@gmail....
Thu Jun 21 07:50:37 CDT 2007


>
> 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


2)What does "rescaling" mean in this context?



You must change B and C so that :
Ay +/- 5
B'y +/- 5
C'y +/- 5


Matthieu
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://projects.scipy.org/pipermail/scipy-user/attachments/20070621/55f44f9b/attachment.html 


More information about the SciPy-user mailing list