Estimation of Expanded Uncertainty in Measurement When Implementing a Bayesian Approach

Публікація:
Estimation of Expanded Uncertainty in Measurement When Implementing a Bayesian Approach

dc.contributor.author	Zakharov, I. P.
dc.contributor.author	Botsyura, O. A.
dc.date.accessioned	2019-01-25T08:33:03Z
dc.date.available	2019-01-25T08:33:03Z
dc.date.issued	2018
dc.description.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.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/7732
dc.language.iso	en	uk_UA
dc.subject	uncertainty in measurement	uk_UA
dc.subject	coverage factor	uk_UA
dc.subject	Bayesian approach	uk_UA
dc.subject	distribution law of expanded uncertainty	uk_UA
dc.title	Estimation of Expanded Uncertainty in Measurement When Implementing a Bayesian Approach	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication