Type A expanded uncertainty assigned to the measurand

Публікація:
Type A expanded uncertainty assigned to the measurand

dc.contributor.author	Zakharov, I.
dc.contributor.author	Botsiura, O.
dc.contributor.author	Diakov, D.
dc.date.accessioned	2024-03-13T14:49:50Z
dc.date.available	2024-03-13T14:49:50Z
dc.date.issued	2023
dc.description.abstract	The Monte Carlo Method was used to calculate the coverage factors for the convolution of two t-distributions laws with a different number of degrees of freedom and the ratio of standard deviations. Approximating expressions for the coverage factor of this convolution are given. The relative errors of applying these approximating expressions are calculated. The choice of an expression that provides the most accurate approximation of the obtained numerical values is substantiated. A technique for finding the number of degrees of freedom of the resulting convolution is proposed
dc.identifier.citation	Zakharov I. Type A expanded uncertainty assigned to the measurand / I. Zakharov, O. Botsiura, D. Diakov // IEEE East-West Design & Test Symposium (EWDTS-2023 ): The 2023 International Symposium, September 22-25, 2023. – Batumi, Georgia, 2023. – Pp. 1-4.
dc.identifier.doi	https://doi.org/10.1109/EWDTS59469.2023.10297083
dc.identifier.uri	https://openarchive.nure.ua/handle/document/26073
dc.language.iso	en
dc.subject	Monte Carlo Method, coverage factor, t distribution, convolution of distribution laws, approximating expressions
dc.title	Type A expanded uncertainty assigned to the measurand
dc.type	Conference proceedings
dspace.entity.type	Publication