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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