Aoki Reiko, Leão Dorival, Bustamante Juan P Mamani, Vilca Filidor
Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos - SP, Brazil.
Estatcamp Consultoria, São Carlos - SP, Brazil.
J Appl Stat. 2021 Dec 16;50(5):1037-1059. doi: 10.1080/02664763.2021.2012563. eCollection 2023.
Proficiency testing (PT) determines the performance of individual laboratories for specific tests or measurements and it is used to monitor the reliability of laboratories measurements. PT plays a highly valuable role as it provides objective evidence of the competence of the participant laboratories. In this paper, we propose a multivariate calibration model to assess equivalence among laboratories measurements in PT. Our method allows to deal with multivariate data, where the item under test is measured at different levels. Although intuitive, the proposed model is nonergodic, which means that the asymptotic Fisher information matrix is random. As a consequence, a detailed asymptotic analysis was carried out to establish the strategy for comparing the results of the participating laboratories. To illustrate, we apply our method to analyze the data from the Brazilian engine test group, PT program, where the power of an engine was measured by eight laboratories at several levels of rotation.
能力验证(PT)可确定各个实验室在特定测试或测量方面的表现,并且用于监测实验室测量的可靠性。PT发挥着非常重要的作用,因为它提供了参与实验室能力的客观证据。在本文中,我们提出了一种多变量校准模型,以评估能力验证中各实验室测量结果之间的等效性。我们的方法能够处理多变量数据,其中被测项目在不同水平下进行测量。尽管该模型直观,但它是非遍历的,这意味着渐近费希尔信息矩阵是随机的。因此,我们进行了详细的渐近分析,以确立比较参与实验室结果的策略。为了说明这一点,我们应用我们的方法来分析来自巴西发动机测试组能力验证计划的数据,其中发动机的功率由八个实验室在几个不同的转速水平下进行测量。