协方差稳健估计在实验室间研究数据检验中的应用
Applications of robust estimators of covariance in examination of inter-laboratory study data
摘要：
本文阐述了使用选定的稳健估计的协方差或相关性在识别异常的实验室间数据的实验室结果。结果表明，鲁棒估计可以大大减少离群值对多元置信区域的影响，从而导致更尖锐的异常识别，即使在传统的离群值检测可能无法定位异常的结果。
英文摘要：
This paper illustrates the use of selected robust estimators of covariance or correlation in the identification of anomalous laboratory results in inter-laboratory data. It is shown that robust estimators can substantially reduce the impact of outlying values on multivariate confidence regions and consequently lead to sharper identification of anomalies, even where traditional outlier detection may fail to locate anomalous results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
