Rostron, Peter D;
Fearn, Tom;
Ramsey, Michael H;
(2022)
Comparing uncertainties—Are they really different?
Accreditation and Quality Assurance
, 27
pp. 133-142.
10.1007/s00769-022-01501-2.
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Abstract
Uncertainties occur at all stages of a measurement process. Quantification of these uncertainties is important in order to make reliable decisions based on these measurement results. In some cases it can be useful to be able to compare the uncertainties associated with different measurement methods, in order to establish the method that is most reliable. A comparison can also be made between uncertainties that have themselves been evaluated using different estimation procedures. This paper discusses the comparison of uncertainties in chemical measurements using case study examples. Depending on the context, both exact and approximate F-tests are used to compare the ratios of uncertainties, while in some cases the approach is to compare separate confidence intervals.
| Type: | Article |
|---|---|
| Title: | Comparing uncertainties—Are they really different? |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s00769-022-01501-2 |
| Publisher version: | https://doi.org/10.1007/s00769-022-01501-2 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Measurement uncertainty, Duplicate method, Robust ANOVA, Confidence interval |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10148717 |
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