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Calculation of Measurement Uncertainty Using Prior Information
We describe the use of Bayesian inference to include prior information about the value of the measurand in the calculation of measurement uncertainty. Typical examples show this can, in effect, reduce the expanded uncertainty by up to 85 %. The application of the Bayesian approach to proving workpie...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
1998
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890954/ https://www.ncbi.nlm.nih.gov/pubmed/28009370 http://dx.doi.org/10.6028/jres.103.042 |
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author | Phillips, S. D. Estler, W. T. Levenson, M. S. Eberhardt, K. R. |
author_facet | Phillips, S. D. Estler, W. T. Levenson, M. S. Eberhardt, K. R. |
author_sort | Phillips, S. D. |
collection | PubMed |
description | We describe the use of Bayesian inference to include prior information about the value of the measurand in the calculation of measurement uncertainty. Typical examples show this can, in effect, reduce the expanded uncertainty by up to 85 %. The application of the Bayesian approach to proving workpiece conformance to specification (as given by international standard ISO 14253-1) is presented and a procedure for increasing the conformance zone by modifying the expanded uncertainty guard bands is discussed. |
format | Online Article Text |
id | pubmed-4890954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1998 |
publisher | [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-48909542016-12-22 Calculation of Measurement Uncertainty Using Prior Information Phillips, S. D. Estler, W. T. Levenson, M. S. Eberhardt, K. R. J Res Natl Inst Stand Technol Article We describe the use of Bayesian inference to include prior information about the value of the measurand in the calculation of measurement uncertainty. Typical examples show this can, in effect, reduce the expanded uncertainty by up to 85 %. The application of the Bayesian approach to proving workpiece conformance to specification (as given by international standard ISO 14253-1) is presented and a procedure for increasing the conformance zone by modifying the expanded uncertainty guard bands is discussed. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1998 1998-12-01 /pmc/articles/PMC4890954/ /pubmed/28009370 http://dx.doi.org/10.6028/jres.103.042 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 Phillips, S. D. Estler, W. T. Levenson, M. S. Eberhardt, K. R. Calculation of Measurement Uncertainty Using Prior Information |
title | Calculation of Measurement Uncertainty Using Prior Information |
title_full | Calculation of Measurement Uncertainty Using Prior Information |
title_fullStr | Calculation of Measurement Uncertainty Using Prior Information |
title_full_unstemmed | Calculation of Measurement Uncertainty Using Prior Information |
title_short | Calculation of Measurement Uncertainty Using Prior Information |
title_sort | calculation of measurement uncertainty using prior information |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890954/ https://www.ncbi.nlm.nih.gov/pubmed/28009370 http://dx.doi.org/10.6028/jres.103.042 |
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