On the measurement uncertainty caused by finite resolution and its relation to the rectangular distribution

IF 1 4区 工程技术 Q4 CHEMISTRY, ANALYTICAL
Petr Křen
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引用次数: 0

Abstract

The paper points out that the current practice of evaluation of measurement uncertainty for a finite resolution of measuring instruments uses the rectangular distribution to describe such an effect. The approximate formula for a calculation of the expanded uncertainty of the normal distribution convolved with the rectangular distribution as a contributing distribution is presented and compared with the direct effect of a finite resolution simulated on the normally distributed data. The interpretation of the numeric rounding caused by a finite resolution as a variable with the rectangular distribution is discussed and the solution for estimations with a quantized distribution that is observed is suggested. This approach allows to avoid underestimation in the evaluation of measurement uncertainties, especially for routinely calibrated instruments, where the finite resolution is often the dominant contribution to the uncertainty budget.

有限分辨率引起的测量不确定度及其与矩形分布的关系
本文指出,目前评定有限分辨率测量仪器的测量不确定度的做法是用矩形分布来描述这种影响。给出了正态分布与矩形分布作为贡献分布卷积的扩展不确定度的近似计算公式,并与模拟有限分辨率对正态分布数据的直接影响进行了比较。讨论了有限分辨率作为矩形分布变量引起的数值舍入的解释,并提出了观测到的量子化分布估计的解法。这种方法可以避免在评估测量不确定度时低估,特别是对于常规校准的仪器,其中有限分辨率通常是不确定度预算的主要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accreditation and Quality Assurance
Accreditation and Quality Assurance 工程技术-分析化学
CiteScore
1.80
自引率
22.20%
发文量
39
审稿时长
6-12 weeks
期刊介绍: Accreditation and Quality Assurance has established itself as the leading information and discussion forum for all aspects relevant to quality, transparency and reliability of measurement results in chemical and biological sciences. The journal serves the information needs of researchers, practitioners and decision makers dealing with quality assurance and quality management, including the development and application of metrological principles and concepts such as traceability or measurement uncertainty in the following fields: environment, nutrition, consumer protection, geology, metallurgy, pharmacy, forensics, clinical chemistry and laboratory medicine, and microbiology.
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