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Unmasking test for multiple upper or lower outliers in normal samples

 

作者: Jin Zhang,   Xueren Wang,  

 

期刊: Journal of Applied Statistics  (Taylor Available online 1998)
卷期: Volume 25, issue 2  

页码: 257-261

 

ISSN:0266-4763

 

年代: 1998

 

DOI:10.1080/02664769823241

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

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.

 

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