Inferring the success parameter p of a binomial model from small samples affected by background
| dc.creator | D'Agostini, G. | |
| dc.date | 2004-12-13 | |
| dc.date.accessioned | 2026-07-07T05:53:40Z | |
| dc.date.available | 2026-07-07T05:53:40Z | |
| dc.description | The problem of inferring the binomial parameter p from x successes obtained in n trials is reviewed and extended to take into account the presence of background, that can affect the data in two ways: a) fake successes are due to a background modeled as a Poisson process of known intensity; b) fake trials are due to a background modeled as a Poisson process of known intensity, each trial being characterized by a known success probability p_b. | |
| dc.description | 24 pages, 12 figures. This paper and related work are also available at http://www.roma1.infn.it/~dagos/prob+stat.html | |
| dc.identifier | https://arxiv.org/abs/physics/0412069 | |
| dc.identifier | http://arxiv.org/abs/physics/0412069 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/86726 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | Astrophysics | |
| dc.title | Inferring the success parameter p of a binomial model from small samples affected by background | |
| dc.type | text |