Obtaining Uncertainty Estimates Compatible with Estimates of Monte Carlo Method

Abstract

The proposed approaches to the implementation of the algorithm for processing the results and the measurement uncertainty evaluation based on the Bayesian method are considered. Expressions to obtain unbiased estimates of the measurand, its standard and expanded uncertainties are given. It is shown that to obtain standard and expanded uncertainty, it is necessary to take into account the kurtosis of the input quantities distributions.