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ŠEDIVÁ, S. HAVLÍKOVÁ, M.
Originální název
Comparison of GUM and Monte Carlo method for evaluation measurement uncertainty of indirect Comparison of GUM and Monte Carlo method for evaluation measurement uncertainty of indirect Comparison of GUM and Monte Carlo method for evaluation measurement uncertanity of indirect measurements
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In this paper the two approaches were used to calculation the uncertainty of the indirect measurements. The relation between standard method for evaluating the measurement uncertainty described in the GUM (the Guide to the Expression of Uncertainty in measurement) and Monte Carlo method is outlined. The Monte Carlo method is numerical procedure for solving mathematical problems by means of simulating random variables. Uncertainty evaluation by Monte Carlo method is based on a probabilistic approach that combines the whole distribution of the factors and is not just based on their means and standard deviation. The results obtain by the Monte Carlo method for the several examples are compared to the corresponding results when the GUM is applied.
Klíčová slova
Measurement uncertainty, Monte Carlo method, indirect measurement, GUM, probability density function
Autoři
ŠEDIVÁ, S.; HAVLÍKOVÁ, M.
Rok RIV
2013
Vydáno
26. 5. 2013
Místo
Rytro Poland
ISBN
978-1-4673-4489-0
Kniha
Proccedings of 14th International Carpathian Control Conference (ICCC)
Strany od
1
Strany do
5
Strany počet
BibTex
@inproceedings{BUT100301, author="Soňa {Šedivá} and Marie {Havlíková}", title="Comparison of GUM and Monte Carlo method for evaluation measurement uncertainty of indirect Comparison of GUM and Monte Carlo method for evaluation measurement uncertainty of indirect Comparison of GUM and Monte Carlo method for evaluation measurement uncertanity of indirect measurements", booktitle="Proccedings of 14th International Carpathian Control Conference (ICCC)", year="2013", pages="1--5", address="Rytro Poland", isbn="978-1-4673-4489-0" }