Title :
Estimating Uncertainty of Correlated Quantities - Comparison of Two Methods
Author :
Konopka, Krzysztof
Author_Institution :
Silesian Univ. of Technol., Gliwice
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location :
Warsaw
Print_ISBN :
1-4244-0588-2
DOI :
10.1109/IMTC.2007.379061
