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Tests of goodness of fit to multiple data sets

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arxiv hep-ph/0105207 v1 pith:ZXQ62OG4 submitted 2001-05-21 hep-ph

classification hep-ph
keywords criteriontheorydatagoodnesstestingappliedbestexperiment
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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.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fant\^omas: epistemic and nuclear uncertainties for the parton distributions of the pion

    hep-ph 2025-05 conditional novelty 6.0 of 10

    Fanto10 and Fanto10_n15 are new NLO pion PDF ensembles that propagate parametrization and nuclear-target uncertainty, allowing a large gluon-sea anticorrelation and even zero gluon at low scales.

  2. New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC

    hep-ph 2019-12 unverdicted novelty 5.0 of 10

    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.

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