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Evaluating statistical uncertainties and correlations using the bootstrap method
The bootstrap method is a powerful technique to evaluate the statistical uncertainty of a measurement and correlations between bins. This method uses a set of replicas of the nominal dataset, derived by introducing Poisson perturbations corresponding to statistical fluctuations. Each replica is then...
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | http://cds.cern.ch/record/2759945 |