Tests of goodness of fit to multiple data sets
High Energy Physics - Phenomenology
2007-05-23 v1
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 \chi^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.
Cite
@article{arxiv.hep-ph/0105207,
title = {Tests of goodness of fit to multiple data sets},
author = {J. C. Collins and J. Pumplin},
journal= {arXiv preprint arXiv:hep-ph/0105207},
year = {2007}
}
Comments
22 pages, 8 figures