Comparison of robust approach and monte carlo methods in uncertainty analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00177016%3A_____%2F13%3A%230000985" target="_blank" >RIV/00177016:_____/13:#0000985 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of robust approach and monte carlo methods in uncertainty analysis
Original language description
For the evaluation of uncertainty a standard methodology is used. This is very well documented in the case of standard procedures (calibration of SPRT in fixed point, calibration by comparison). For the proper propagation of the uncertainty the model ofthe measurement, together with their parameters is needed to be known. In the case, when sensors are calibrated in more points, redundant information is used as a validation of the model. This paper will show the comparison of robust approach and Monte Carlo analysis in uncertainty evaluation of the measurement. A special case with regards of the different level of the measured point?s uncertainty will be discussed. This will lead to the different minimization criteria based on Bayesian approach and different uncertainty propagation methodology. In the case of robust methods this approach will also eliminate the influence of the outline measurements in the calibration. The Monte Carlo analysis will show the influence of distribution pro
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Symposium on Temperature and Thermal Measurements in Industry and Science
ISBN
978-972-8574-15-4
ISSN
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e-ISSN
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Number of pages
1
Pages from-to
246
Publisher name
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Place of publication
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Event location
Funchal, Madeira
Event date
Oct 14, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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