基于MATLAB的MCM对GUM不确定度框架验证

测量不确定度评定领域中主要采用的方法是GUM,我国于2012年12月发布了新版JJF1059.1-2012《测量不确定度评定与表示》,并于2013年6月3日起实施。规范提出当JJF1059.1-2012不适用时,可考虑采用JJF1059.2-2012《用蒙特卡洛法评定测量不确定度》进行不确定度评定。同时规范强调GUM的评定结果可以用蒙特卡洛法（MCM）进行验证,验证评定结果一致时仍然可采用GUM进行不确定度评定。文中利用MATLAB数学工具,以实例的方式说明MCM对GUM不确定度框架如何验证并得出相关结论。

MCM for GUM Uncertainty Framework Verification Based on MATLAB

The main methods in measurement uncertainty evaluation field is GUM, JJF 1059.1-2012 Evaluation and Expression of Uncertainty in Measurement has been published in December 2012, and implemented since June 3,2013. Specification is proposed when JJF 1059.1-2012 inapplicable, can consider to adopt JJF1059.2-2012 Monte Carlo Method for Evaluation of Measurement Uncertainty. And specification to highlight the Monte Carlo Method （MCM） can be validated the GUM department assessment, when the two validation evaluation results is consistent, GUM department for uncertainty evaluation can be still used. In this paper, using mathematical tool MATLAB, by way of example to explain how the MCM verify the GUM uncertainty evaluation and relevant conclusions.