Tests of goodness of fit to multiple data sets

dc.creatorCollins, J. C.
dc.creatorPumplin, J.
dc.date2001-05-21
dc.date.accessioned2026-07-07T03:44:34Z
dc.date.available2026-07-07T03:44:34Z
dc.descriptionWe 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.
dc.description22 pages, 8 figures
dc.identifierhttps://arxiv.org/abs/hep-ph/0105207
dc.identifierhttp://arxiv.org/abs/hep-ph/0105207
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/40614
dc.subjectHigh Energy Physics - Phenomenology
dc.titleTests of goodness of fit to multiple data sets
dc.typetext

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