@inproceedings{9a4ea515fbbe492bb8ababde1afdb68a,
title = "Estimating uncertainty of correlated quantities - Comparison of two methods",
abstract = "The paper considers uncertainty estimating when uncertainty sources are correlated and probabality 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 = "Correlation, Reductive interval arithmetic, Uncertainty",
author = "Krzysztof Konopka",
year = "2007",
doi = "10.1109/imtc.2007.379061",
language = "English",
isbn = "1424410800",
series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2007 IEEE Instrumentation and Measurement Technology, IMTC 2007 - Conference Proceedings - Synergy of Science and Technology in Instrumentation and Measurement",
address = "United States",
note = "2007 IEEE Instrumentation and Measurement Technology, IMTC 2007 - Synergy of Science and Technology in Instrumentation and Measurement ; Conference date: 01-05-2007 Through 03-05-2007",
}