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On the effect of correlation and unequal variances in detecting a spurious observation

 

作者: Dean M. Young,   Robert Pavur,   Virgil R. Marco,  

 

期刊: Canadian Journal of Statistics  (WILEY Available online 1989)
卷期: Volume 17, issue 1  

页码: 103-105

 

ISSN:0319-5724

 

年代: 1989

 

DOI:10.2307/3314767

 

出版商: Wiley‐Blackwell

 

关键词: Robustness;outliers;detecting a single univariate outlier

 

数据来源: WILEY

 

摘要:

AbstractSrivastava (1980) has shown that Grubbs's (1950) test for a univariate outlier is robust against the effect of equicorrelation. In this note we extend Srivastava's result by giving a more general covariance structure, which relaxes both the covariance structure and the assumption of equal variances. We also show that under the more general covariance structure, the power of Grubbs's test, as well as the significance level, is identical to the independently and identically distributed case.

 

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