Tests of goodness of fit to multiple data sets
classification
✦ hep-ph
keywords
criteriontheorydatagoodnesstestingappliedbestexperiment
read the original 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.
This paper has not been read by Pith yet.
Forward citations
Cited by 1 Pith paper
-
New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC
New CT18 PDFs at NLO and NNLO from global fit to HERA plus LHC jet, Drell-Yan, top-pair and Z data, with Hessian errors, Lagrange-multiplier studies, and alternate sets for data tensions and scale choices.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.