Statistical determination of a comparison reference value using hidden errors
Statistical determination of a comparison reference value using hidden errors
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使用隐藏误差统计确定比较参考值
DOI：
10.1088/0026-1394/39/4/3
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发表时间：
2002
期刊：
影响因子：
2.4
通讯作者：
R. Willink
中科院分区：
文献类型：
--
作者：
R. Willink
给出了实验室间比对中测量结果的组合统计方法，以获得汇总参考值及其不确定度。该方法允许客观对待被怀疑是离群值的测量值，并客观对待出现过于乐观的个别不确定性的测量值。这是通过假设每个实验室的测量程序受到隐藏误差的影响而实现的，而不仅仅是那些结果似乎是异常值的实验室的程序。基本的方法可以扩展到允许这些错误从不同的分布，定义良好的实验室子集，并允许这些子集内的错误相关。使用实际数据给出的例子。
A statistical method is given for the combination of measurement results in an interlaboratory comparison to obtain a summary reference value and its uncertainty. The method allows objective treatment of measurements suspected of being outliers and objective treatment of measurements with individual uncertainties that appear overly optimistic. This is achieved by assuming that the measurement procedure of each laboratory is subject to a hidden error, and not just the procedures of those laboratories whose results appear to be outliers. The basic method can be extended to allow these errors to be drawn from different distributions for well-defined subsets of laboratories, and to allow the errors within these subsets to be correlated. Examples are given using actual data.