| Autor: |
Nosek, Dalibor, Nosková, Jana |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
Nuclear Instruments and Methods in Physics Research A 820 (2016) 23 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1016/j.nima.2016.02.094 |
| Popis: |
We propose an analytical solution to the on-off problem within the framework of Bayesian statistics. Both the statistical significance for the discovery of new phenomena and credible intervals on model parameters are presented in a consistent way. We use a large enough family of prior distributions of relevant parameters. The proposed analysis is designed to provide Bayesian solutions that can be used for any number of observed on-off events, including zero. The procedure is checked using Monte Carlo simulations. The usefulness of the method is demonstrated on examples from gamma-ray astronomy. |
| Databáze: |
arXiv |
| Externí odkaz: |
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