[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

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