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).
Sceptical combination of experimental results: General considerations and application to epsilon-prime/epsilon
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
This paper is meant as a contribution to the often debated subject of how to combine data which appear to be in mutual disagreement. As a practical example, the epsilon-prime/epsilon determinations have been considered.
fields
hep-ph 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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).