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Alternative to the application of PDG scale factors
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The Particle Data Group recommends a set of procedures to be applied when discrepant data are to be combined. We introduce an alternative method based on a more general and solid statistical framework, providing a robust way to include possible unknown systematic effects interfering with experimental measurements or their theoretical interpretation. The limit of large data sets and practical cases of interest are discussed in detail.
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Implementing Errors on Errors: Bayesian vs Frequentist
D'Agostini's Bayesian gamma prior and Cowan's frequentist gamma variance model are the same gamma law under the parameter map k = lambda = (n-1)/2 = 1/(4 epsilon^2).
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