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

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We 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.
CDF Statistics Committee http://www-cdf.fnal.gov/physics/statistics/ Report, LaTeX, 30 pages, 11 eps files

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Data Analysis, Statistics and Probability

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http://salesiana.dossiersoluciones.com/handle/123456789/86419

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/physics/0409129
 http://arxiv.org/abs/physics/0409129

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arXiv