Improved evaluation of measurement uncertainty from sampling by inclusion of between-sampler bias using sampling proficiency testing.
Improved evaluation of measurement uncertainty from sampling by inclusion of between-sampler bias using sampling proficiency testing.
复制标题
通过使用抽样能力测试纳入抽样器之间的偏差,改进了对抽样测量不确定性的评估。
DOI:
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发表时间:
2011
期刊:
影响因子:
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通讯作者:
A. Damant
中科院分区:
文献类型:
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作者:
M. Ramsey;B. Geelhoed;R. Wood;A. 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.