Definition and assessment of sampling and analytical accuracy
Definition and assessment of sampling and analytical accuracy
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DOI：
10.1016/s0003-4878(00)00071-5
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发表时间：
2001-07-01
影响因子：
--
通讯作者：
Bartley, DL
中科院分区：
文献类型：
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作者：
Bartley, DL
本文研究了量化测量精度的两种独立定义和评估测量精度的两种极限方案。高斯均方误差（MSE）与对称距离精度(A)进行了比较，描述了一个测量对象的测量范围。两种测量精度的方法都考虑了系统误差（偏差）和不精度，以便量化估计值与被测量的实际值的接近程度。值得注意的是，对于大多数方法的应用，精度函数是非常接近的。此外，还详细介绍了如何计算测量精度的置信限，以考虑方法评估中的误差。如果方法经过广泛的初始评价，与每次方法应用时的连续重新评价相比，置信限在质量上是不同的。为此目的，应用了容差的统计理论以及更熟悉的置信区间类型。爱思唯尔科学有限公司代表英国职业卫生学会出版。版权所有。
Two independent definitions for quantifying measurement accuracy and two limiting schemes for their assessment are examined in this paper. Gauss' mean square error MSE is compared to the symmetric-range accuracy A, describing the range of measurements about a measurand. Both measures of accuracy account for systematic error (bias) and imprecision so as to quantify the closeness of estimates to the actual values being measured. Remarkably, it is found that the accuracy functions are closely equivalent for most method applications. Furthermore, details are presented on how to compute confidence limits on measurement accuracy so as to account for error in method evaluation. The confidence limits are qualitatively different in the case that the method undergoes extensive initial evaluation in comparison to a continual re evaluation at each method application. To this end the statistical theories of tolerance as well as more familiar types of confidence intervals are applied. Published by Elsevier Science Ltd on behalf of British Occupational Hygiene Society. All rights reserved.