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Confidence limits with multiple channels and arbitrary probability distributions for sensitivity and expected background
A MC method is proposed to compute upper limits, in a pure Bayesian approach, when the errors associated with the experimental sensitivity and expected background content are not Gaussian distributed or not small enough to apply usual approximations. It is relatively easy to extend the procedure to...
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| Lenguaje: | eng |
| Publicado: |
2002
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| Acceso en línea: | https://dx.doi.org/10.1142/S0129183102003784 http://cds.cern.ch/record/620401 |