Evaluation of Measurement Uncertainty Using Bayesian Inference

The Bayesian inference provide a natural and consistent way to make best use of all relevant historical information which characterizes the measurand in a measurement process. In this paper the use of Bayesian method is described to include prior information in the evaluation of the measurement uncertainty. The proposed approach gives an implementation on the evaluation of the confidence region with respect the usual techniques described in the ISO Guide to the Expression of Uncertainty in Measurement (GUM) [1]. Experimental model is studied and numerical results are reported to assess the validity of the proposed formulae.