GB/T 27419-2018 in English

This document provides guidelines for the evaluation and expression of measurement uncertainty, with a focus on the propagation of distributions using the Monte Carlo method. It outlines procedures for handling uncertainties in measurement processes, emphasizing statistical techniques to model and analyze variability. The content covers the application of Monte Carlo simulations in uncertainty analysis, including the selection of appropriate probability distributions, the generation of random variables, and the calculation of uncertainty intervals. This standard is intended to support users in implementing robust uncertainty evaluation methods across various measurement scenarios. It includes examples and case studies to illustrate the application of the Monte Carlo approach in practical situations. The document also addresses the reporting of results, ensuring clarity and consistency in the communication of uncertainty information. It is applicable to a wide range of fields where precise measurement and uncertainty quantification are essential.