Testing the statistical compatibility of independent data sets

Simple item page
dc.creatorMaltoni, M.
dc.creatorSchwetz, T.
dc.date2003-04-17
dc.date2003-07-02
dc.date.accessioned2026-07-07T06:29:46Z
dc.date.available2026-07-07T06:29:46Z
dc.descriptionWe discuss a goodness-of-fit method which tests the compatibility between statistically independent data sets. The method gives sensible results even in cases where the chi^2-minima of the individual data sets are very low or when several parameters are fitted to a large number of data points. In particular, it avoids the problem that a possible disagreement between data sets becomes diluted by data points which are insensitive to the crucial parameters. A formal derivation of the probability distribution function for the proposed test statistic is given, based on standard theorems of statistics. The application of the method is illustrated on data from neutrino oscillation experiments, and its complementarity to the standard goodness-of-fit is discussed.
dc.description17 pages, LaTeX file using RevTEX4, 2 figures and 2 tables included. Minor improvements to the text, one section added. Accepted for publication in Phys.Rev.D
dc.identifierhttps://arxiv.org/abs/hep-ph/0304176
dc.identifierhttp://arxiv.org/abs/hep-ph/0304176
dc.identifierPhys.Rev. D68 (2003) 033020
dc.identifierdoi:10.1103/PhysRevD.68.033020
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/98152
dc.subjectHigh Energy Physics - Phenomenology
dc.subjectAstrophysics
dc.subjectHigh Energy Physics - Experiment
dc.titleTesting the statistical compatibility of independent data sets
dc.typetext

Files

Collections

arXiv