Zakharov, I.Botsiura, O.2024-03-182024-03-182022Zakharov I. Advanced methods for measurement uncertainty evaluation / I. Zakharov, O. Botsiura // Metrology and Metrology Assurance (MMA-2022 ): Proceedings of 2022 XXXII International Scientific Symposium, Sozopol, Bulgaria, September 7-11, 2022. – Pp. 19-22.https://openarchive.nure.ua/handle/document/26104Disadvantages of the law of propagation of uncertainty underlying the implementation of the model approach in the GUM are analyzed. Advanced methods for implementing a model approach to measurement uncertainty evaluation are described, which allow eliminating the shortcomings of the GUM uncertainty framework: the law of propagation of distributions, the kurtosis method, the law of propagation of expanded uncertainty, the law of propagation of observational results for reliable evaluation of type A uncertainty for correlated and uncorrelated measurement results of input quantities.enmodel approach to measurement uncertainty evaluationMonte Carlo methodkurtosis methodthe law of propagation of expanded uncertaintyreduction methodtransposition methodConference proceedingshttps://doi.org/10.1109/MMA55579.2022.9993256