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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...

詳細記述

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書誌詳細
出版年:J Res Natl Inst Stand Technol
主要な著者: Phillips, S. D., Estler, W. T., Levenson, M. S., Eberhardt, K. R.
フォーマット: Artigo
言語:Inglês
出版事項: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1998
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4890954/
https://ncbi.nlm.nih.gov/pubmed/28009370
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.6028/jres.103.042
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