Uhlig, S.; Colson, B.; Gowik, P. Measurement Uncertainty Interval in Case of a Known Relationship between Precision and Mean. F1000Research 2023, 12, 996, doi:10.12688/f1000research.139111.1.
Uhlig, S.; Colson, B.; Gowik, P. Measurement Uncertainty Interval in Case of a Known Relationship between Precision and Mean. F1000Research 2023, 12, 996, doi:10.12688/f1000research.139111.1.
Uhlig, S.; Colson, B.; Gowik, P. Measurement Uncertainty Interval in Case of a Known Relationship between Precision and Mean. F1000Research 2023, 12, 996, doi:10.12688/f1000research.139111.1.
Uhlig, S.; Colson, B.; Gowik, P. Measurement Uncertainty Interval in Case of a Known Relationship between Precision and Mean. F1000Research 2023, 12, 996, doi:10.12688/f1000research.139111.1.
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.
Computer Science and Mathematics, Probability and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
