A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement

The Bienaymé-Chebyshev Inequality provides a quantitative bound on the level of confidence of a measurement with known combined standard uncertainty and assumed coverage factor. The result is independent of the detailed nature of the probability distribution that characterizes knowledge of the measu...

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Detalles Bibliográficos
Autor principal: Estler, W. Tyler
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1997
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4894578/
https://www.ncbi.nlm.nih.gov/pubmed/27805146
http://dx.doi.org/10.6028/jres.102.040
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author Estler, W. Tyler
author_facet Estler, W. Tyler
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description The Bienaymé-Chebyshev Inequality provides a quantitative bound on the level of confidence of a measurement with known combined standard uncertainty and assumed coverage factor. The result is independent of the detailed nature of the probability distribution that characterizes knowledge of the measurand.
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spelling pubmed-48945782016-10-28 A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement Estler, W. Tyler J Res Natl Inst Stand Technol Article The Bienaymé-Chebyshev Inequality provides a quantitative bound on the level of confidence of a measurement with known combined standard uncertainty and assumed coverage factor. The result is independent of the detailed nature of the probability distribution that characterizes knowledge of the measurand. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1997 /pmc/articles/PMC4894578/ /pubmed/27805146 http://dx.doi.org/10.6028/jres.102.040 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
Estler, W. Tyler
A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement
title A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement
title_full A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement
title_fullStr A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement
title_full_unstemmed A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement
title_short A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement
title_sort distribution-independent bound on the level of confidence in the result of a measurement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4894578/
https://www.ncbi.nlm.nih.gov/pubmed/27805146
http://dx.doi.org/10.6028/jres.102.040
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