Abstract
It is shown that upper limits can be calculated in classical statistics for measurements contaminated by background or distorted owing to the finite resolution of the apparatus. The a posteriori probability distributions, as fixed by the experimental results, are used for the background and the measurement errors, respectively. Contrary to the Bayesian approach, assumptions on prior distributions of unknown parameters are avoided.
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