2016 | OriginalPaper | Buchkapitel
Curve Fitting
verfasst von : Achim Zielesny
Erschienen in: From Curve Fitting to Machine Learning
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Two-dimensional curve fitting starts with experimental xy-error data (points in diagram below) which consist of data triples (x i ,y i ,σ i ) with an argument value x i , a corresponding dependent value y i and the (not illustrated) statistical error σ i of the y i value (again note that xy-error data are generated by experimental setups which specify a x i value and measure a corresponding y i value for that fixed x i value where the errors of all x i values are not taken into account.