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Estimating precision, repeatability, and reproducibility from Gaussian and non- Gaussian data: a mixed models approach

Author

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  • Assam Pryseley
  • Koen Mintiens
  • Katia Knapen
  • Yves Van der Stede
  • Geert Molenberghs

Abstract

Quality control relies heavily on the use of formal assessment metrics. In this paper, for the context of veterinary epidemiology, we review the main proposals, precision, repeatability, reproducibility, and intermediate precision, in agreement with ISO (international Organization for Standardization) practice, generalize these by placing them within the linear mixed model framework, which we then extend to the generalized linear mixed model setting, so that both Gaussian as well as non-Gaussian data can be employed. Similarities and differences are discussed between the classical ANOVA (analysis of variance) approach and the proposed mixed model settings, on the one hand, and between the Gaussian and non-Gaussian cases, on the other hand. The new proposals are applied to five studies in three diseases: Aujeszky's disease, enzootic bovine leucosis (EBL) and bovine brucellosis. The mixed-models proposals are also discussed in the light of their computational requirements.

Suggested Citation

  • Assam Pryseley & Koen Mintiens & Katia Knapen & Yves Van der Stede & Geert Molenberghs, 2010. "Estimating precision, repeatability, and reproducibility from Gaussian and non- Gaussian data: a mixed models approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(10), pages 1729-1747.
    • Handle: RePEc:taf:japsta:v:37:y:2010:i:10:p:1729-1747
    DOI: 10.1080/02664760903150706
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    Cited by:

    1. Yang, Ruiyue & Hong, Chunyang & Huang, Zhongwei & Song, Xianzhi & Zhang, Shikun & Wen, Haitao, 2019. "Coal breakage using abrasive liquid nitrogen jet and its implications for coalbed methane recovery," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    2. Ameha Tefera Tessema & Jan Walters Kruger, 2017. "An Improvement on An Interest Rate Commission Agent Banking System Model (AIRCABS Model)," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 685-705.

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