[SciPy-user] Error in nonlinear least squares fit analysis
Wed Sep 17 15:55:49 CDT 2008
> leastsq(full_output=True) will also return an estimate of the
> covariance matrix in recent (probably > 0.6) SVN versions of scipy.
This sounds like what I'm looking for -- just to make sure I'm looking
at this right, the diagonal terms of the covariance matrix represent
the variance in the parameters? I.e., for the error in a exponential
fit y = coef*e**(coef*x), the error for coef would be the
sqrt of leastsq's cov_x, and I can return the best value of the
coef +/- sqrt(cov_x) ?
This may be a simple question, but I'm having great difficulty finding
a source that explains the meaning of all of these various matricies
Thanks for the help,
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