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

Ming Nan Chen, Jr Jung Lyu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
Pages857-861
Number of pages5
DOIs
Publication statusPublished - 2010 Dec 31
Event17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 - Xiamen, China
Duration: 2010 Oct 292010 Oct 31

Publication series

NameProceedings - 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
CountryChina
CityXiamen
Period10-10-2910-10-31

Fingerprint

Accreditation
Statistical Models
Probability distributions
Uncertainty

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Chen, M. N., & Lyu, J. J. (2010). Estimation of repeatability and between-method reproducibility using a novel statistical model. In Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 (pp. 857-861). [5646487] (Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010). https://doi.org/10.1109/ICIEEM.2010.5646487
Chen, Ming Nan ; Lyu, Jr Jung. / Estimation of repeatability and between-method reproducibility using a novel statistical model. Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010. 2010. pp. 857-861 (Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010).
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Chen, MN & Lyu, JJ 2010, Estimation of repeatability and between-method reproducibility using a novel statistical model. in Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010., 5646487, Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010, pp. 857-861, 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010, Xiamen, China, 10-10-29. https://doi.org/10.1109/ICIEEM.2010.5646487

Estimation of repeatability and between-method reproducibility using a novel statistical model. / Chen, Ming Nan; Lyu, Jr Jung.

Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010. 2010. p. 857-861 5646487 (Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chen MN, Lyu JJ. Estimation of repeatability and between-method reproducibility using a novel statistical model. In Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010. 2010. p. 857-861. 5646487. (Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010). https://doi.org/10.1109/ICIEEM.2010.5646487