[SciPy-user] polynomal regression
meesters at uni-mainz.de
Mon Oct 16 06:44:29 CDT 2006
Well, scipy allows to fit a polynomal of arbitrary order. But is there any
method implemented which does this and returns uncertainties in the
coefficients as well?
For instance: If the data represent a polynomal p0 + p1*x + p1*x^2, is there a
way to retreive delta-p0, -p1, and p2?
Sorry, if this question has already been asked - or even answered. I could
image that somebody came up with it already, but I can't find the thread. Any
hints / links appreciated ...
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