Estimation of repeatability and between-method reproducibility using a novel statistical model

Ming Nan Chen, Jr Jung Lyu

研究成果: Conference contribution

摘要

Measurement uncertainty is used to describe the quality of a measurement value and ensures the ability of a laboratory to reliably implement quality improvement initiatives. The repeatability and reproducibility (R&R) study is the program most widely used to assess measurement uncertainty. R&R study is based on the assumption of a normal probability distribution of measurement results. However, standard R&R methods are inadequate for evaluating measurement uncertainty in numerous situations involving an insufficiently realistic normality assumption. This study proposes a statistical model for determining the R&R variance for inter-laboratory measurement results. The Expectation Maximization (E-M) algorithm and generalized linear model (GLM) are applied to estimate the repeatability variance, and a developed method is designed for estimating inter-laboratory and reproducibility variance. The findings are employed to evaluate and improve measurement uncertainty in laboratory accreditation.

原文English
主出版物標題Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
頁面857-861
頁數5
DOIs
出版狀態Published - 2010 12月 31
事件17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 - Xiamen, China
持續時間: 2010 10月 292010 10月 31

出版系列

名字Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010

Other

Other17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
國家/地區China
城市Xiamen
期間10-10-2910-10-31

All Science Journal Classification (ASJC) codes

  • 工業與製造工程

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