Effect of Correlations Between Model Parameters and Nuisance Parameters When Model Parameters are Fit to Data
Roe, Byron
Original · EN
The effect of correlations between model parameters and nuisance parameters is discussed, in the context of fitting model parameters to data. Modifications to the usual χ² method are required. Fake data studies, as used at present, will not be optimum. Problems will occur for applications of the Maltoni-Schwetz ms theorem. Neutrino oscillations are used as examples, but the problems discussed here are general ones, which are often not addressed.
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