{"title":"Interlaboratory comparisons of chemical measurements: Quo Vadis?","authors":"Juris Meija, Antonio Possolo","doi":"10.1007/s00769-022-01505-y","DOIUrl":null,"url":null,"abstract":"<div><p>In numerous articles and editorials, many of which were published in ACQUAL, Paul De Bièvre laid out challenges time and again about how the application of statistical methods can help improve our understanding of chemical measurements. Paul’s insights and incisive criticism were as illuminating and as provocative as in all other areas that he looked into—from counting to consensus building, from the validity of common statistical assumptions to the impact of model uncertainty. This memorial contribution briefly revisits some of these concerns illustrated by examples from interlaboratory comparisons and proposes an optimistic outlook for how the statistical arts practised in close collaboration between chemist and statistician will continue to add value to the chemical sciences.</p></div>","PeriodicalId":454,"journal":{"name":"Accreditation and Quality Assurance","volume":"28 3","pages":"89 - 93"},"PeriodicalIF":0.8000,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00769-022-01505-y.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accreditation and Quality Assurance","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s00769-022-01505-y","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: 1
Abstract
In numerous articles and editorials, many of which were published in ACQUAL, Paul De Bièvre laid out challenges time and again about how the application of statistical methods can help improve our understanding of chemical measurements. Paul’s insights and incisive criticism were as illuminating and as provocative as in all other areas that he looked into—from counting to consensus building, from the validity of common statistical assumptions to the impact of model uncertainty. This memorial contribution briefly revisits some of these concerns illustrated by examples from interlaboratory comparisons and proposes an optimistic outlook for how the statistical arts practised in close collaboration between chemist and statistician will continue to add value to the chemical sciences.
在许多文章和社论中，其中许多发表在《ACQUAL》上，Paul De bi vre一次又一次地提出了统计方法的应用如何有助于提高我们对化学测量的理解的挑战。保罗的洞见和尖锐的批评与他所研究的其他领域一样具有启发性和挑衅性——从计数到共识建立，从普通统计假设的有效性到模型不确定性的影响。这篇纪念文章通过实验室间比较的例子简要回顾了这些问题，并提出了一个乐观的前景，即化学家和统计学家之间密切合作的统计艺术将如何继续为化学科学增添价值。
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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