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Improved evaluation of measurement uncertainty from sampling by inclusion of between-sampler bias using sampling proficiency testing
journal contributionposted on 2023-06-07, 21:08 authored by M H Ramsey, Bastiaan Geelhoed, R Wood, A P Damant
A realistic estimate of the uncertainty of a measurement result is essential for its reliable interpretation. Recent methods for such estimation include the contribution to uncertainty from the sampling process,but they only include the random and not the systematic effects. Sampling Proficiency Tests (SPTs) have been used previously to assess the performance of samplers, but the results can also be used to evaluate measurement uncertainty, including the systematic effects. A new SPT conducted on the determination of moisture in fresh butter is used to exemplify how SPT results can be used not only to score samplers but also to estimate uncertainty. The comparison between uncertainty evaluated within- and between-samplers is used to demonstrate that sampling bias is causing the estimates of expanded relative uncertainty to rise by over a factor of two (from 0.39% to 0.87%) in this case. General criteria are given for the experimental design and the sampling target that are required to apply this approach to measurements on any material.
PublisherRoyal Society of Chemistry
Department affiliated with
- Evolution, Behaviour and Environment Publications
NotesFirst example to new approach to estimating uncertainty of measurements to include the contribution from sampling bias. Ramsey wrote this paper as PI on the research project funded by Food Standard Agency, based experiment carried out by Geelhoed and Ramsey.
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