Removing model and data non-conformity in measurement evaluation

A procedure is derived to remove after adjustment a frequently observed non -conformity of the evaluation model and the given information. This procedu re is nearly as easy to apply as the commonly used Birge ratio procedure bu t it has the advantage of being founded on the Bayesian theory of measureme nt uncertainty. The derivation of the procedure rests on the shown feature of the generalized least-squares analysis of measurement data to be the onl y adjustment method in measurement evaluation satisfying the metrological r equirements of unique solution and consistent uncertainty analysis in accor dance with recent international recommendations. Information conservation i s a particular case of consistency. This feature and the procedure follow f rom the inherent symmetry of the suitably linearized evaluation model and o f the information given by the measurement data and the associated uncertai nties.