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arXiv · hep-ph/0105207

Tests of goodness of fit to multiple data sets

J. C. Collins·J. Pumplin
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Abstract

We propose a new and rather stringent criterion for testing the goodness of fit between a theory and experiment. It is motivated by the paradox that the criterion on χ^2 for testing a theory is much weaker than the criterion for finding the best fit value of a parameter in the theory. We present a method by which the stronger parameter-fitting criterion can be applied to subsets of data in a global fit.

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J. C. Collins, J. Pumplin. 2001-05-21. Tests of goodness of fit to multiple data sets. https://arxiv.org/abs/hep-ph/0105207

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