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Issue 15, 2019
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Why do we need the uncertainty factor?

Abstract

The uncertainty factor is a new way to express measurement uncertainty. It is especially applicable when the uncertainty is large (e.g., expanded relative uncertainty > 20%), which occurs in some analytical methods, and also when the uncertainty includes that arising from the primary sampling of highly heterogeneous materials. The upper and lower confidence limits of the uncertainty interval are calculated by multiplying and dividing the measurement result by the uncertainty factor, rather than adding and subtracting the traditional uncertainty value.

Graphical abstract: Why do we need the uncertainty factor?

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Publication details

The article was received on 15 Mar 2019, accepted on 15 Mar 2019 and first published on 27 Mar 2019


Article type: AMC Technical Brief
DOI: 10.1039/C9AY90050K
Anal. Methods, 2019,11, 2105-2107

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    Why do we need the uncertainty factor?

    Analytical Methods Committee AMCTB No. 88, Anal. Methods, 2019, 11, 2105
    DOI: 10.1039/C9AY90050K

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