测量不确定度
可比性
合格评定
可靠性(半导体)
计算机科学
风险分析(工程)
委派
等价(形式语言)
一致性
可追溯性
质量(理念)
可靠性工程
不确定度分析
医学
数学
统计
工程类
模拟
医学教育
法学
功率(物理)
离散数学
哲学
物理
软件工程
组合数学
操作系统
认识论
量子力学
政治学
作者
Luciana Separovic,Renan S. Simabukuro,Aldo Renato Couto,Maria Luiza G. Bertanha,Francielle Regina Silva Dias,Adriano Y. Sano,Arthur M. Caffaro,Felipe Rebello Lourenço
标识
DOI:10.1080/10408347.2021.1940086
摘要
Analytical results are often used in scientific research, industrial and clinical applications to support decision making. Despite all efforts to ensure the reliability of analytical results (including method validation, internal quality control, use of certified reference materials, proficiency tests, and ISO 17025 accreditation), there will always be an uncertainty associated with the measured value. The measurement uncertainty expresses the quality of the analytical result and allows the comparability between analytical results or between the measured value and the specification limit(s). This work discusses the importance of measurement uncertainty, including the steps involved in the measurement uncertainty evaluation, the bottom-up and top-down approaches used in measurement uncertainty calculation, the measurement uncertainty evaluation in drug and medicine analyses, and the application of measurement uncertainty in conformity assessment for quality control, stability studies, and pharmaceutical equivalence.
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