A Study on Comparison between the Propagation of Uncertainty by GUM and Monte-Carlo Simulation

[摘要] The expanded uncertainties calculated by the application of GUM -approximation and Monte-Carlo simulation were compared about the model equation of one-point calibration which is widely used for the measurements and chemical analysis. For the comparisons, we assumed a set of artificial data at the various level of concentration and dispersion of t or normal distribution. Mistakes of more then 50 % was revealed at the values calculated by GUM-approximation in comparison with those of Monte-Carlo simulation because of the excess dispersion from t-distribution and non-linearity by division in the equation. In contrary, the mistake of calculation due to non-linearity of the equation was not observed in the level of detection limits with the equation of one-point calibration, because of the relatively large values of uncertainty in response.

[学科分类] 化学（综合）

[关键词] È®ÀåºÒÈ®µµ;Chemical Analysis;One-point Calibration;GUM;Monte-Carlo Simulation;Expanded Uncertainty