Setting Confidence Belts
高能物理 - 实验
2009-10-31 v2
摘要
We propose using a Bayes procedure with uniform improper prior to determine credible belts for the mean of a Poisson distribution in the presence of background and for the continuous problem of measuring a non-negative quantity with a normally distributed measurement error. Within the Bayesian framework, these belts are optimal. The credible limits are then examined from a frequentist point of view and found to have good frequentist and conditional frequentist properties.
引用
@article{arxiv.hep-ex/0007048,
title = {Setting Confidence Belts},
author = {Byron P. Roe and Michael B. Woodroofe},
journal= {arXiv preprint arXiv:hep-ex/0007048},
year = {2009}
}
备注
26 pages, 8 figures, submitted to Phys. Rev. D