{"title":"On the measurement uncertainty caused by finite resolution and its relation to the rectangular distribution","authors":"Petr Křen","doi":"10.1007/s00769-025-01662-w","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":454,"journal":{"name":"Accreditation and Quality Assurance","volume":"30 4","pages":"383 - 389"},"PeriodicalIF":1.0000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accreditation and Quality Assurance","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s00769-025-01662-w","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
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.
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.