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Identification of outliers in a one-way random effects model

Author

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  • Wellmann, Jürgen
  • Gather, Ursula

Abstract

We distinguish between three types of outliers in a one-way random effects model. These are formally described in terms of their position relative to the main part of the observations. We propose simple rules for identifying such outliers and give an example which involves median-based statistics.

Suggested Citation

  • Wellmann, Jürgen & Gather, Ursula, 2000. "Identification of outliers in a one-way random effects model," Technical Reports 2000,47, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
  • Handle: RePEc:zbw:sfb475:200047
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    File URL: https://www.econstor.eu/bitstream/10419/77358/2/2000-47.pdf
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    References listed on IDEAS

    as
    1. L.R. Verdooren, 1980. "On estimation of variance components," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 34(2), pages 83-106, June.
    2. Davies, Laurie, 1991. "A stochastic model for interlaboratory tests," Computational Statistics & Data Analysis, Elsevier, vol. 12(2), pages 201-209, September.
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    2. Rukhin, Andrew L. & Possolo, Antonio, 2011. "Laplace random effects models for interlaboratory studies," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1815-1827, April.

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