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Incorporating Nuisance Parameters in Likelihoods for Multisource Spectra
We describe here the general mathematical approach to constructing likelihoods for fitting observed spectra in one or more dimensions with multiple sources, including the effects of systematic uncertainties represented as nuisance parameters, when the likelihood is to be maximized with respect to th...
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| Lenguaje: | eng |
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2011
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| Acceso en línea: | https://dx.doi.org/10.5170/CERN-2011-006.115 http://cds.cern.ch/record/1333496 |