Advanced
A Study on Comparison between the Propagation of Uncertainty by GUM and Monte-Carlo Simulation
A Study on Comparison between the Propagation of Uncertainty by GUM and Monte-Carlo Simulation
Journal of the Korean Chemical Society. 2003. Feb, 47(1): 31-37
  • Published : February 20, 2003
Download
PDF
Export by style
Article
Author
Metrics
Cited by
About the Authors
Shu, Jungkee
Min, Hyungsik
Park, Minsu
Woo, Jin-Chun
Kim, Jongsang

Abstract
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.
Keywords
View Fulltext