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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