Ok, then I have to look into scipy.odr to see how it can help me move
forward. Thanks Robert!
Evelien
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Evelien wrote:
Thanks Robert for your reply. I must say I am kind of disappointed if
that is the only solution. I thought that such a standard problem as
least squares fitting, would always give you an estimation of the
error bars, without having to look up how you can convert a covariance
matrix
Thanks Robert for your reply. I must say I am kind of disappointed if
that is the only solution. I thought that such a standard problem as
least squares fitting, would always give you an estimation of the
error bars, without having to look up how you can convert a covariance
matrix into error bars.
Evelien wrote:
Dear python-users,
I am trying to do a non-linear least squares fitting. Maybe trying is
not the best word, as I already succeeded in that. At the moment I am
using leastSquaresFit from Scientific Python. I know of other least
squares routines, such as the one in scipy.optimize an
Dear python-users,
I am trying to do a non-linear least squares fitting. Maybe trying is
not the best word, as I already succeeded in that. At the moment I am
using leastSquaresFit from Scientific Python. I know of other least
squares routines, such as the one in scipy.optimize and I believe
there
