Combining upper limits with a Bayesian approach
Data Analysis, Statistics and Probability
2015-10-20 v4 High Energy Physics - Experiment
Abstract
We discuss how to determine and combine upper limits based on observed events and estimated backgrounds with a Bayesian method, when insignificant signals are observed in independent measurements. In addition to some general features deduced from the analytical formulae, systematic numerical results are obtained by a C program (CULBA) for low-count experiments, which can be used as a reference to combine two upper limits.
Keywords
Cite
@article{arxiv.1307.3804,
title = {Combining upper limits with a Bayesian approach},
author = {Liu Yang and Kai Zhu and Yongsheng Zhu and Hao Cai},
journal= {arXiv preprint arXiv:1307.3804},
year = {2015}
}
Comments
6 pages, 15 figures, 5 table