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An outlier problem in the determination of ore grade

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  • Brenton Clarke
  • Toby Lewis

Abstract

Data from recordings of ore assays from the Western Australian goldfields provide motivation to devise new tests for outliers when observations are distributed with the same mean but diff ering variances. In the case of equal variances, tests for a single outlier reduce to well-known tests of discordancy. A block discordancy test for k outliers is also described. The question of whether or not one should omit any observation(s) in the calculation of the mean recoverable gold content is addressed in the context of whether or not the data contain outliers, as judged by a normal model for the 'logged' ore assay values. The given data suggest that models with 'logged' values that follow long-tailed approximately normal distributions may be appropriate.

Suggested Citation

  • Brenton Clarke & Toby Lewis, 1998. "An outlier problem in the determination of ore grade," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(6), pages 751-762.
  • Handle: RePEc:taf:japsta:v:25:y:1998:i:6:p:751-762
    DOI: 10.1080/02664769822747
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    References listed on IDEAS

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    1. Johann Pfanzagl, 1959. "Ein kombiniertes test & klassifikations-problem," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 2(1), pages 11-45, December.
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