Joint Bayesian Treatment of Poisson and Gaussian Experiments in a Chi-squared Statistic
| dc.creator | Silverman, Dennis | |
| dc.date | 1998-08-06 | |
| dc.date | 1999-10-19 | |
| dc.date.accessioned | 2026-07-07T05:56:19Z | |
| dc.date.available | 2026-07-07T05:56:19Z | |
| dc.description | Bayesian Poisson probability distributions for the average n can be analytically converted into equivalent chi-squared distributions. These can then be combined with other Gaussian or Bayesian Poisson distributions to make a total chi-squared distribution. This allows the usual treatment of chi-squared contours but now with both Poisson and Gaussian statistics experiments. This is illustrated with the case of neutrino oscillations. | |
| dc.description | 26 pages, with RevTeX. The replacement has added the application to neutrino oscillation experiments. It also includes a more general derivation. For the case with background, it includes a study of the normalization | |
| dc.identifier | https://arxiv.org/abs/physics/9808004 | |
| dc.identifier | http://arxiv.org/abs/physics/9808004 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/87562 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | High Energy Physics - Phenomenology | |
| dc.title | Joint Bayesian Treatment of Poisson and Gaussian Experiments in a Chi-squared Statistic | |
| dc.type | text |