Abstract：The process of uncertainty evaluation methods based on GUM serials and Bayesian analysis is compared, and it is derived that GUM uncertainty evaluation is based on measurement equation, and a forward uncertainty evaluation method, while Bayesian analysis is an inverse uncertainty evaluation based on observation equation. A probabilistic approach to analysis and comparison is used to the two approaches. It’s concluded that for linear model and with non-informative prior for the measurand both analysis can be applied and get the same result, but for non-linear model, only GUM S1 method and Bayesian analysis give the same result. The results are illustrated by examples.
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2017, Vol. 38 
