Evaluation of measurement uncertainty in analytical assays by means of Monte-Carlo simulation
Herrador, M. A. and Gonzalez, A. G.
2004 Talanta, 64(2): 415-422
Measurement uncertainty; Monte-Carlo simulation; ISO-GUM approach; Propagation of distributions
Herrador, M. A. and Gonzalez, A. G., (2004), "Evaluation of measurement uncertainty in analytical assays by means of Monte-Carlo simulation", Talanta, 64(2): 415-422.
Abstract:
The main limitations of the Guide to the expression of Uncertainty Measurement (GUM) approach for evaluating the measurement uncertainty of analytical assays are presented and explained. The advantages of using Monte-Carlo simulation against the GUM approach are outlined and discussed and the principle of propagation of distributions is explained. The procedure of Monte-Carlo analysis is illustrated by two case studies. A first simple example quoted from the EURACHEM Guide and dealing with the preparation of a calibration standard is used to present the technique with detail in a step-by-step way. In this case the results obtained by both approaches are very similar. A second example deals with the calibration of mass according to a strong non-linear model. In this case, the Monte-Carlo analysis leads to better results.
This publication in whole or part may be found online at: here.
