Please use this identifier to cite or link to this item: http://openarchive.nure.ua/handle/document/7732
Title: Estimation of Expanded Uncertainty in Measurement When Implementing a Bayesian Approach
Authors: Zakharov, I. P.
Botsyura, O. A.
Keywords: uncertainty in measurement
coverage factor
Bayesian approach
distribution law of expanded uncertainty
Issue Date: 2018
Abstract: 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.
URI: http://openarchive.nure.ua/handle/document/7732
Appears in Collections:Радиотехника

Files in This Item:
File Description SizeFormat 
Meas Tech 2018 №4 Estimation of expanded uncertainty.pdf298.55 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.