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Uses of zero-one sampling in probabilistic risk assessment

A.L. Camp-1993-10-01-University of North Texas Digital Library (University of North Texas)

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The recent NUREG-1150 studies and the LaSalle Probabilistic Risk Assessment (PRA) include the most in-depth uncertainty analyses ever performed for commercial nuclear reactors. As a result, the methods used in these studies are often emulated and referenced as being the definitive approach for performing such uncertainty analyses. While the methods are believed to be robust and to reasonably reflect the magnitude of the uncertainties, it is important for future users of these methods to understand some of the subtle points of the analysis. In particular, zero-one sampling (ZOS) was a technique employed extensively in these studies. The purpose of this paper is to clarify the actual use of zero-one sampling in NUREG-1150 and discuss more precisely those applications for which zero-one sampling is appropriate.

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The recent NUREG-1150 studies and the LaSalle Probabilistic Risk Assessment (PRA) include the most in-depth uncertainty analyses ever performed for commercial nuclear reactors. As a result, the methods used in these studies are often emulated and referenced as being the definitive approach for performing such uncertainty analyses. While the methods are believed to be robust and to reasonably reflect the magnitude of the uncertainties, it is important for future users of these methods to understand some of the subtle points of the analysis. In particular, zero-one sampling (ZOS) was a technique employed extensively in these studies. The purpose of this paper is to clarify the actual use of zero-one sampling in NUREG-1150 and discuss more precisely those applications for which zero-one sampling is appropriate.

Keywords

Probabilistic logicZero (linguistics)Computer scienceSampling (signal processing)StatisticsMathematicsArtificial intelligenceComputer vision

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