Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Measurement Uncertainty Interval In Case of a Known Relationship between Precision and Mean

Version 1 : Received: 26 July 2022 / Approved: 9 August 2022 / Online: 9 August 2022 (10:56:40 CEST)

How to cite: Uhlig, S.; Colson, B.; Gowik, P. Measurement Uncertainty Interval In Case of a Known Relationship between Precision and Mean. Preprints 2022, 2022080179 (doi: 10.20944/preprints202208.0179.v1). Uhlig, S.; Colson, B.; Gowik, P. Measurement Uncertainty Interval In Case of a Known Relationship between Precision and Mean. Preprints 2022, 2022080179 (doi: 10.20944/preprints202208.0179.v1).

Abstract

Measurement uncertainty is typically expressed in terms of a symmetric interval , where denotes the measurement result and the expanded uncertainty. However, in the case of heteroscedasticity, symmetric uncertainty intervals can be misleading. In this paper, a different approach for the calculation of uncertainty intervals is introduced. This approach is applicable when a validation study has been conducted with samples with known concentrations. It will be shown how, under certain circumstances, asymmetric uncertainty intervals arise quite naturally and lead to more reliable uncertainty intervals.

Keywords

In-house validation study; reproducibility precision; measurement uncertainty; prediction interval; uncertainty interval

Subject

LIFE SCIENCES, Other

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