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
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104122" target="_blank" >RIV/00216305:26220/13:PU104122 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
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
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
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
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
JA - Elektronika a optoelektronika, elektrotechnika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/ED0014%2F01%2F01" target="_blank" >ED0014/01/01: Centrum výzkumu a využití obnovitelných zdrojů energie</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proccedings of 14th International Carpathian Control Conference (ICCC)
ISBN
978-1-4673-4489-0
ISSN
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e-ISSN
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Počet stran výsledku
5
Strana od-do
1-5
Název nakladatele
Neuveden
Místo vydání
Rytro Poland
Místo konání akce
Rytro, Poland
Datum konání akce
26. 5. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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