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Deutsches Institut für Urbanistik
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Walter de Gruyter
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Confidence intervals for experiments with background and small numbers of events

Methods to find a confidence interval for Poisson distributed variables are illuminated, especially for the case of poor statistics. The application of `central´ and `highest probability density´ confidence intervals is compared for the case of low count-rates. A method to determine realistic estimates of the confidence intervals for Poisson distributed variables affected with background, and their ratios, is given.

Radiochimica Acta, Oldenbourg Wissenschaftsverlag

Print ISSN: 0033-8230
Volume: 91, 02/2003
Pages: 071

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