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Weighting Background-Subtracted Events
Often a full maximum likelihood (ML) estimate is inconvenient for computational reasons (e.g., iteration over large data sets). If a variable x is a discriminating variable (s(x) 6= b(x)), a weight function can be found which allows estimation of the number of signal events with a variance approachi...
Autores principales: | Linnemann, James T, Smith, Andrew J |
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Lenguaje: | eng |
Publicado: |
CERN
2008
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.5170/CERN-2008-001.151 http://cds.cern.ch/record/1099982 |
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