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

Journal of the Korean Chemical Society

Minsu Park¹  Hyungsik Min¹  Jin-Chun Woo¹  Jongsang Kim¹  Jungkee Suh¹ 

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

DOI  :  

学科分类：化学（综合）

来源: Korean Chemical Society

【 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.

【 授权许可】

Unknown