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The Signal Estimator Limit Setting Method
A new method of background subtraction is presented which uses the concept of a signal estimator to construct a confidence level which is always conservative and which is never better than e^-s. The new method yields stronger exclusions than the Bayesian method with a flat prior distribution.
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
CERN
2000
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.5170/CERN-2000-005.103 http://cds.cern.ch/record/374774 |
| Sumario: | A new method of background subtraction is presented which uses the concept of a signal estimator to construct a confidence level which is always conservative and which is never better than e^-s. The new method yields stronger exclusions than the Bayesian method with a flat prior distribution. |
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