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Statistical analysis for nuclear forensics experiments. (English) Zbl 07260451
Summary: As with any type of forensics, nuclear forensics seeks to infer historical information using models and data. This article connects nuclear forensics and calibration. We present statistical analyses of a calibration experiment that connect several responses to the associated set of input values and then ‘make a measurement’ using the calibration model. Previous and upcoming real experiments involving production of \(PuO_2\) powder motivate this article. Both frequentist and Bayesian approaches are considered, and we report findings from a simulation study that compares different analysis methods for different underlying responses between inputs and responses, different numbers of responses, different amounts of natural variability, and replicated or non-replicated calibration experiments and new measurements.
MSC:
62 Statistics
68 Computer science
Software:
BayesDA; R; WinBUGS
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References:
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