DocumentCode
2908260
Title
Estimating Uncertainty of Correlated Quantities - Comparison of Two Methods
Author
Konopka, Krzysztof
Author_Institution
Silesian Univ. of Technol., Gliwice
fYear
2007
fDate
1-3 May 2007
Firstpage
1
Lastpage
6
Abstract
The paper considers uncertainty estimating when uncertainty sources are correlated and probability density function distribution is not normal. Two approximate methods for evaluating uncertainty are compared. The first is based on recommendations in "Guide to the Expression of Uncertainty in Measurement". The second one uses Reductive Interval Arithmetic [2]. As a reference there is used an uncertainty calculated basing on its definition and simulation generated random variable.
Keywords
approximation theory; arithmetic; measurement uncertainty; probability; approximate methods; probability density function distribution; reductive interval arithmetic; simulation generated random variable; uncertainty estimation; Arithmetic; Density measurement; Electric variables measurement; Equations; Instrumentation and measurement; Measurement uncertainty; Paper technology; Probability density function; Random variables; Shape measurement; correlation; reductive interval arithmetic; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location
Warsaw
ISSN
1091-5281
Print_ISBN
1-4244-0588-2
Type
conf
DOI
10.1109/IMTC.2007.379061
Filename
4258065
Link To Document