Application of Monte-Carlo method in measurement uncertainty evaluation of complicated model

The method introduced in 'Guide to the expression of Uncertainty in Measurement' (GUM) for evaluating measurement uncertainty is based on propagation of uncertainty, which is mainly used for linear model. Since it is difficult to determine the sensitive coefficient, correlation coefficient of input quantities and effective degrees of freedom, the GUM method has some defects for complicated model. Aiming at this problem, the propagation of distributions using Monte-Carlo numerical simulation method is introduced in the GUM Supplement 1-Propagation of Distributions using a Monte Carlo method. According to GUM Supplement 1, the principle and procedures of Monte-Carlo method for evaluating measurement uncertainty of complicated model are outlined and discussed, and a case is shown to compare above two methods.