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Estimation of Expanded Uncertainty in Measurement When Implementing a Bayesian Approach

Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)

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Title Estimation of Expanded Uncertainty in Measurement When Implementing a Bayesian Approach
 
Creator Zakharov, I. P.
Botsyura, O. A.
 
Subject uncertainty in measurement
coverage factor
Bayesian approach
distribution law of expanded uncertainty
 
Description Issues with the estimation of expanded uncertainty in the fi rst draft of the revised Guide to the Expression of Uncertainty in Measurement (GUM) based on the Bayesian approach are considered. Comparative analysis is done of the methodologies that are known and those that are proposed by the authors for estimating expanded uncertainty, based on the current version of the GUM, the GOST R 8.736–2011 standard, and the distribution law of expanded uncertainty. It is shown that the authors’ technique makes it possible to achieve good correspondence of the estimates of expanded uncertainty with estimates obtained by the Monte Carlo method.
 
Date 2019-01-25T08:33:03Z
2019-01-25T08:33:03Z
2018
 
Type Article
 
Identifier http://openarchive.nure.ua/handle/document/7732
 
Language en