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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...

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Detalles Bibliográficos
Autores principales: Linnemann, James T, Smith, Andrew J
Lenguaje:eng
Publicado: CERN 2008
Materias:
XX
Acceso en línea:https://dx.doi.org/10.5170/CERN-2008-001.151
http://cds.cern.ch/record/1099982