Setting Confidence Belts

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  • 24 July 2000
Abstract
We propose using a Bayes procedure with uniform improper prior to determine the credible belts for the Poisson distribution in the presence of background and for the continuous problem of measuring a quantity theta >= 0 with a normally distributed measurement error. The credible limits are then examined from a frequentist point of view and found to have good frequentist and conditional frequentist properties and some optimality properties.

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