基于残差分析的能力测试方案解释新方法

IF 0.8 4区 工程技术 Q4 CHEMISTRY, ANALYTICAL
Luiz Henrique da Conceição Leal, Fernando Gustavo Marques Violante, Lucas Junqueira de Carvalho, Bruno Carius Garrido, Eliane Cristina Pires do Rego, Gabriel Fonseca Sarmanho, Werickson Fortunato de Carvalho Rocha
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引用次数: 2

摘要

通过实验室间比较的能力测试方案用于确定个别实验室在特定测试或测量方面的表现。国际标准ISO 13528:2015提供了用于实现这一目标的统计方法的描述;其中一种方法是z分数。该标准允许每个参与者选择一种测量方法,这可能导致参与者方差之间的不均匀性,称为异方差。ISO 13528:2015标准在其统计程序中没有提到异方差。本文描述了一种基于残差分析的新方法,以评估实验室间比较确定橙汁中苯甲酸存在的性能。结果表明,结论(使用z分数)和提出的方法在某些实验室是不同的。这是由于违反了同方差假设。z分数过程不考虑这种假设违反,而残差分析可以提供这样的信息。可行广义最小二乘允许处理非同方差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A new methodology for proficiency testing scheme interpretation based on residual analysis

A new methodology for proficiency testing scheme interpretation based on residual analysis

Proficiency testing schemes by interlaboratory comparisons are used to determine the performance of individual laboratories for specific tests or measurements. The international standard ISO 13528:2015 provides a description of statistical methods used for achieving this goal; one of these methods is the z score. The standard allows each participant to choose a measurement method and this can lead to inhomogeneity between participant variance known as heteroscedasticity. The ISO 13528:2015 standard does not mention heteroscedasticity in its statistical procedures. This paper describes a new approach, based on residuals analysis, to assess the performance of an interlaboratory comparison for determining the presence of benzoic acid in orange juice. The results indicate that the conclusions (using z scores) and the proposed approach are different for some laboratories. This occurs due to violation of the homoscedasticity assumption. The z score procedure does not consider this assumption violation while residual analysis can provide such information. Feasible generalized least squares allow one to deal with non-homoscedasticity.

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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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