Title of article
Estimation of the uncertainty of indirect measurements from the propagation of distributions by using the Monte-Carlo method: An overview
Author/Authors
Herrador، نويسنده , , M. ءngeles and Asuero، نويسنده , , Agustيn G. and Gonzلlez، نويسنده , , A. Gustavo، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2005
Pages
8
From page
115
To page
122
Abstract
The limitations of the Guide to the expression of Uncertainty Measurement (GUM) for evaluating the uncertainty of indirect measurements are presented. The propagation of distributions is introduced as the best way to evaluate the measurement uncertainty. The use of Monte-Carlo method for performing the propagation of distributions is outlined and discussed. A case study is selected to illustrate the application of Monte-Carlo method for evaluating the uncertainty of an analytical assay.
Keywords
GUM approach , Propagation of distributions , uncertainty , Monte-Carlo method
Journal title
Chemometrics and Intelligent Laboratory Systems
Serial Year
2005
Journal title
Chemometrics and Intelligent Laboratory Systems
Record number
1461538
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