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Question: Fit to data points with individual errors per degree of freedom

Question:Fit to data points with individual errors per degree of freedom

DIDIRODO 20 Maple
October 14 2010
2

Hello,

I'm looking for a way to fit a function to measured data points. The special thing about it is that each data point has an individual error in x- und y- direction, and I would like the fitting command to consider these individual errors. I'm aware of the Statistics[NonlinearFit] command, but there I only can assign one weight per data point - not one for each degree of freedom.

I'm a physics student, and in the moment this is my major problem for using maple in experimental physics. In every other big CAS, like root, origin or mathematica, this is possible. I hope maple can do it, too

Kind regards

DIDIRODO
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