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Combining Results From Multiple Evaluations of the Same Measurand

According to the Guide to the Expression of Uncertainty in Measurement (GUM), a result of measurement consists of a measured value together with its associated standard uncertainty. The measured value and the standard uncertainty are interpreted as the expected value and the standard deviation of a...

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Detalles Bibliográficos
Autores principales: Kessel, Rüdiger, Kacker, Raghu N., Sommer, Klaus-Dieter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551221/
https://www.ncbi.nlm.nih.gov/pubmed/26989601
http://dx.doi.org/10.6028/jres.116.023
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author Kessel, Rüdiger
Kacker, Raghu N.
Sommer, Klaus-Dieter
author_facet Kessel, Rüdiger
Kacker, Raghu N.
Sommer, Klaus-Dieter
author_sort Kessel, Rüdiger
collection PubMed
description According to the Guide to the Expression of Uncertainty in Measurement (GUM), a result of measurement consists of a measured value together with its associated standard uncertainty. The measured value and the standard uncertainty are interpreted as the expected value and the standard deviation of a state-of-knowledge probability distribution attributed to the measurand. We discuss the term metrological compatibility introduced by the International Vocabulary of Metrology, third edition (VIM3) for lack of significant differences between two or more results of measurement for the same measurand. Sometimes a combined result of measurement from multiple evaluations of the same measurand is needed. We propose an approach for determining a combined result which is metrologically compatible with the contributing results.
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spelling pubmed-45512212016-03-17 Combining Results From Multiple Evaluations of the Same Measurand Kessel, Rüdiger Kacker, Raghu N. Sommer, Klaus-Dieter J Res Natl Inst Stand Technol Article According to the Guide to the Expression of Uncertainty in Measurement (GUM), a result of measurement consists of a measured value together with its associated standard uncertainty. The measured value and the standard uncertainty are interpreted as the expected value and the standard deviation of a state-of-knowledge probability distribution attributed to the measurand. We discuss the term metrological compatibility introduced by the International Vocabulary of Metrology, third edition (VIM3) for lack of significant differences between two or more results of measurement for the same measurand. Sometimes a combined result of measurement from multiple evaluations of the same measurand is needed. We propose an approach for determining a combined result which is metrologically compatible with the contributing results. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2011 2011-12-11 /pmc/articles/PMC4551221/ /pubmed/26989601 http://dx.doi.org/10.6028/jres.116.023 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Article
Kessel, Rüdiger
Kacker, Raghu N.
Sommer, Klaus-Dieter
Combining Results From Multiple Evaluations of the Same Measurand
title Combining Results From Multiple Evaluations of the Same Measurand
title_full Combining Results From Multiple Evaluations of the Same Measurand
title_fullStr Combining Results From Multiple Evaluations of the Same Measurand
title_full_unstemmed Combining Results From Multiple Evaluations of the Same Measurand
title_short Combining Results From Multiple Evaluations of the Same Measurand
title_sort combining results from multiple evaluations of the same measurand
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551221/
https://www.ncbi.nlm.nih.gov/pubmed/26989601
http://dx.doi.org/10.6028/jres.116.023
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