Confidence intervals for low-level, paired counting
Journal Article
·
· Health Physics
Fong and Alvarez (1997) make clear the lack of precision at MDA for paired counting. Confidence intervals provide a way of expressing a measurement process that lacks precision. Neyman-Pearson principles are briefly discussed and 95% confidence intervals of the form [0, {number_sign}{number_sign}.{number_sign}{number_sign}] are presented. Use is made of the fact that the probability of the difference of two random variables, each with a Poisson distribution, can be expressed in terms of modified Bessel functions of integral order and elementary functions. The validity of the values is discussed.
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 696828
- Journal Information:
- Health Physics, Vol. 77, Issue 5SUP; Other Information: PBD: Nov 1999
- Country of Publication:
- United States
- Language:
- English
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