October 8, 2019
Author(s)
Peter Vallone, Sarah Riman, Jan Hannig
In this work we introduce a new statistical methodology for empirically examining the validity of model-based Likelihood Ratio (LR) systems by applying a general statistical inference approach called generalized fiducial inference [1]. LR systems are