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首页> 外文期刊>Measurement techniques >EVALUATION OF MEASUREMENT UNCERTAINTY BASED ON THE PROPAGATION OF DISTRIBUTIONS USING MONTE CARLO SIMULATION
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EVALUATION OF MEASUREMENT UNCERTAINTY BASED ON THE PROPAGATION OF DISTRIBUTIONS USING MONTE CARLO SIMULATION

机译：基于蒙特卡罗模拟的基于分布传播的测量不确定度评估

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摘要

The uncertainty associated with a value of some quantity is widely recognized throughout scientific disciplines as a quantitative measure of the reliability of that value. In addition, measurement uncertainty is increasingly seen as essential in quality assurance for industry. The Guide to the Expression of Uncertainty in Measurement (GUM) provides internationally agreed recommendations for the evaluation of uncertainties. This paper outlines the current situation of uncertainty evaluation in the context of international norms and arrangements. It describes the basic ideas and concepts that underlie the GUM and serves as a brief tutorial on methods for evaluating measurement uncertainty in a manner consistent with the GUM. It recommends an approach to evaluating measurement uncertainty based on the propagation of distributions using Monte Carlo simulation. An example is presented to illustrate Monte Carlo simulation.
机译：与某个数量的值相关的不确定性已被整个科学学科广泛认可为对该值的可靠性的定量度量。此外，测量不确定性在行业质量保证中越来越重要。测量不确定度表示指南（GUM）为评估不确定度提供了国际认可的建议。本文概述了在国际规范和安排的背景下不确定性评估的现状。它描述了GUM的基本思想和概念，并作为以GUM一致的方式评估测量不确定度的方法的简短教程。它推荐了一种使用蒙特卡洛模拟基于分布传播评估测量不确定度的方法。给出一个例子来说明蒙特卡洛模拟。

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