Bayesian credible interval construction for Poisson statistics

Abstract

The construction of the Bayesian credible (confidence) interval for a Poisson observable including both the signal and background with and without systematic uncertainties is presented. Introducing the conditional probability satisfying the requirement of the background not larger than the observed events to construct the Bayesian credible interval is also discussed. A Fortran routine, BPOCI, has been developed to implement the calculation.

7 pages, 1 figure

References in corpus (1)

• Including Systematic Uncertainties in Confidence Interval Construction for Poisson Statistics

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