Probabilistic measurement modelling may overcome the opposition between the Bayesian and the frequentistic views

摘要

The probabilistic modelling of measurement systems is discussed, in regards to uncertainty evaluation and different models representing the same real system from different standpoints are compared. We suggest that proper probabilistic modelling directly yields evaluation of measurement uncertainty, without making any commitment to specific philosophical schools, such as the frequentistic and the Bayesian ones. We suggest that this model-based approach may have advantages in education and in the development of recommended practices in measurement.