评估测试结果一致性的另一种方法

IF 0.1 Q4 INSTRUMENTS & INSTRUMENTATION
Andrii Korobko, Julia Kotova
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引用次数: 0

摘要

本文提出了一种在实验室测试质量保证程序中评估测量结果一致性的新方法。决策规则基于测量的不确定性。测量数据的数学期望值在指标测量不确定度范围内的概率被作为量化指标提出。考虑到所应用的决策规则,这种方法误差影响的定量指标被建议为不同系列测量中获得的测量结果的数学期望值与确定这些结果的平均不确定性之间的差值之比。该指标基于测量结果呈正态分布的假设。为了简化质量保证指标的计算过程,降低计算错误的风险,在虚拟测试实验室的基础上创建了 "协议 "模块。在该模块中计算协议的输入数据包括:测量设备、测量结果本身(每个测试人员至少三个)、覆盖系数、执行测量人员的全名以及决策规则系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An alternative method for assessing the agreement between test results
The paper proposes a new way of assessing the agreement between measurement results during test quality assurance procedures in the laboratory. The decision-making rule is based on the measurement uncertainty. The probability, with which mathematical expectations of the measured data lie within the uncertainty of the indicator measurements, is proposed as a quantitative indicator. Such a quantitative indicator of the impact of methodological errors is proposed as the ratio of the difference between mathematical expectations of the measurement results obtained in different series of measurements to the average uncertainty of their determination, taking into account the applied decision-making rule. This indicator is based on the assumption that the measurement results are normally distributed. To simplify the process of calculating quality assurance indicators and reduce the risk of making mistakes in calculations, the “Agreement” module was created on the basis of a virtual test laboratory. The input data for the calculation of the agreement in the module are: measuring equipment, measurement results themselves (at least three for each tester), the coverage coefficient, full names of the people performing the measurements, and the coefficient of the decision-making rule.
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来源期刊
Ukrainian Metrological Journal
Ukrainian Metrological Journal INSTRUMENTS & INSTRUMENTATION-
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