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Features and performance of some outlier detection methods

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  • G. Barbato
  • E. M. Barini
  • G. Genta
  • R. Levi
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    Abstract

    A review of several statistical methods that are currently in use for outlier identification is presented, and their performances are compared theoretically for typical statistical distributions of experimental data, considering values derived from the distribution of extreme order statistics as reference terms. A simple modification of a popular, broadly used method based upon box-plot is introduced, in order to overcome a major limitation concerning sample size. Examples are presented concerning exploitation of methods considered on two data sets: a historical one concerning evaluation of an astronomical constant performed by a number of leading observatories and a substantial database pertaining to an ongoing investigation on absolute measurement of gravity acceleration, exhibiting peculiar aspects concerning outliers. Some problems related to outlier treatment are examined, and the requirement of both statistical analysis and expert opinion for proper outlier management is underlined.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/02664763.2010.545119
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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal Journal of Applied Statistics.

    Volume (Year): 38 (2011)
    Issue (Month): 10 ()
    Pages: 2133-2149

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    Handle: RePEc:taf:japsta:v:38:y:2011:i:10:p:2133-2149

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    Related research

    Keywords: exclusion rules; order statistics; outliers; robust statistics; statistical test;

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