Interval estimation in the presence of nuisance parameters. 1. Bayesian approach

Simple item page
dc.creatorHeinrich, Joel
dc.creatorBlocker, Craig
dc.creatorConway, John
dc.creatorDemortier, Luc
dc.creatorLyons, Louis
dc.creatorPunzi, Giovanni
dc.creatorSinervo, Pekka K.
dc.date2004-09-27
dc.date.accessioned2026-07-07T05:52:44Z
dc.date.available2026-07-07T05:52:44Z
dc.descriptionWe address the common problem of calculating intervals in the presence of systematic uncertainties. We aim to investigate several approaches, but here describe just a Bayesian technique for setting upper limits. The particular example we study is that of inferring the rate of a Poisson process when there are uncertainties on the acceptance and the background. Limit calculating software associated with this work is available in the form of C functions.
dc.descriptionCDF Statistics Committee http://www-cdf.fnal.gov/physics/statistics/ Report, LaTeX, 30 pages, 11 eps files
dc.identifierhttps://arxiv.org/abs/physics/0409129
dc.identifierhttp://arxiv.org/abs/physics/0409129
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/86419
dc.subjectData Analysis, Statistics and Probability
dc.titleInterval estimation in the presence of nuisance parameters. 1. Bayesian approach
dc.typetext

Files

Collections

arXiv