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Unmasking test for multiple upper or lower outliers in normal samples

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  • Jin Zhang
  • Xueren Wang

Abstract

The discordancy test for multiple outliers is complicated by problems of masking and swamping. The key to the settlement of the question lies in the determination of k , i.e. the number of 'contaminants' in a sample. Great efforts have been made to solve this problem in recent years, but no effective method has been developed. In this paper, we present two ways of determining k , free from the effects of masking and swamping, when testing upper (lower) outliers in normal samples. Examples are given to illustrate the methods.

Suggested Citation

  • Jin Zhang & Xueren Wang, 1998. "Unmasking test for multiple upper or lower outliers in normal samples," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(2), pages 257-261.
    • Handle: RePEc:taf:japsta:v:25:y:1998:i:2:p:257-261
    DOI: 10.1080/02664769823241
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