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Titlebook: Measurement Uncertainty in Chemical Analysis; Paul Bièvre,Helmut Günzler Book 2003 Springer-Verlag Berlin Heidelberg 2003 Accreditation.Ac

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書目名稱Measurement Uncertainty in Chemical Analysis
編輯Paul Bièvre,Helmut Günzler
視頻videohttp://file.papertrans.cn/629/628089/628089.mp4
概述Collects 20 outstanding papers on the topic, mostly published from 1999-2002 in the journal "Accreditation and Quality Assurance".Gives an overview of the state of the art of "measurement uncertainty"
圖書封面Titlebook: Measurement Uncertainty in Chemical Analysis;  Paul Bièvre,Helmut Günzler Book 2003 Springer-Verlag Berlin Heidelberg 2003 Accreditation.Ac
描述It is now becoming recognized in the measurement community that it is as important to communicate the uncertainty related to a specific measurement as it is to report the measurement itself. Without knowing the uncertainty, it is impossible for the users of the result to know what confidence can be placed in it; it is also impossible to assess the comparability of different measurements of the same parameter. This volume collects 20 outstanding papers on the topic, mostly published from 1999-2002 in the journal "Accreditation and Quality Assurance." They provide the rationale for why it is important to evaluate and report the uncertainty of a result in a consistent manner. They also describe the concept of uncertainty, the methodology for evaluating uncertainty, and the advantages of using suitable reference materials. Finally, the benefits to both the analytical laboratory and the user of the results are considered.
出版日期Book 2003
關鍵詞Accreditation; Accreditierung; Analytical Chemistry; Certification; DIN EN IEC 17025; ISO 9000; Klassifizi
版次1
doihttps://doi.org/10.1007/978-3-662-05173-3
isbn_softcover978-3-642-07884-2
isbn_ebook978-3-662-05173-3
copyrightSpringer-Verlag Berlin Heidelberg 2003
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Evaluation of uncertainty utilising the component by component approach,en followed by an in-depth discussion of some of the differences between this approach and the approach of utilising validation data. Some of the advantages and disadvantages of using the component by component approach are outlined at the end.
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