Analysis and Comparison of Hyper-Ellipsoidal and Smallest Coverage Regions for Multivariate Monte Carlo Measurement Uncertainty Analysis Simulation Datasets-Reference-Cited by-同舟云学术

Analysis and Comparison of Hyper-Ellipsoidal and Smallest Coverage Regions for Multivariate Monte Carlo Measurement Uncertainty Analysis Simulation Datasets

Published:2019-06-12 Issue:3 Volume:34 Page:387-402
ISSN:0970-3950
Container-title:MAPAN
language:en
Short-container-title:MAPAN

Author:

Ramnath Vishal^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Physics and Astronomy (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s12647-019-00324-w.pdf

Reference25 articles.

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2. I. Lira, The GUM revision: the Bayesian view toward the expression of measurement uncertainty, Eur. J. Phys., 37 (2016) 025803 (16 pp). https://doi.org/10.1088/0143-0807/37/2/025803 .

3. BIPM, IEC, IFCC, ILAC, ISO, IUPAP, OIML, Evaluation of measurement data—Supplement 1 to the “Guide to the expression of uncertainty in measurement”—Propogation of distributions using a Monte Carlo method, Tech. Rep., JCGM/WG1 GUM Supplement 1 (2008), 1st edition— https://www.bipm.org/en/publications/guides/ .

4. BIPM, IEC, IFCC, ILAC, ISO, IUPAP, OIML, Evaluation of measurement data—Supplement 2 to the “Guide to the expression of uncertainty in measurement”—Propogation of distributions using a Monte Carlo method, Tech. Rep., JCGM/WG1 GUM Supplement 2 (2011), 1st edition— https://www.bipm.org/en/publications/guides/ .

5. W. Bich, M. Cox, C. Michotte, Towards a new GUM – an update, Metrologia, 53 (2016) S149–S159. https://doi.org/10.1088/0026-1394/53/5/S149 .

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