Measurement uncertainty

被引:3
作者
Bartley, David [1 ]
Liden, Goran [2 ]
机构
[1] Annals Occupat Hyg, Cincinnati, OH 45227 USA
[2] Stockholm Univ, Dept Appl Environm Sci, S-10691 Stockholm, Sweden
关键词
accuracy; bias; non-central Student's t-distribution; systematic error; uncertainty;
D O I
10.1093/annhyg/men034
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The reporting of measurement uncertainty has recently undergone a major harmonization whereby characteristics of a measurement method obtained during establishment and application are combined componentwise. For example, the sometimes-pesky systematic error is included. A bias component of uncertainty can be often easily established as the uncertainty in the bias. However, beyond simply arriving at a value for uncertainty, meaning to this uncertainty if needed can sometimes be developed in terms of prediction confidence in uncertainty-based intervals covering what is to be measured. To this end, a link between concepts of accuracy and uncertainty is established through a simple yet accurate approximation to a random variable known as the non-central Student's t-distribution.
引用
收藏
页码:413 / 417
页数:5
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