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Probabilities that contaminated normal observations are extreme

 

作者: L. I. Pettit,  

 

期刊: Journal of Applied Statistics  (Taylor Available online 1992)
卷期: Volume 19, issue 1  

页码: 111-116

 

ISSN:0266-4763

 

年代: 1992

 

DOI:10.1080/02664769200000009

 

出版商: Carfax Publishing Company

 

数据来源: Taylor

 

摘要:

Results are presented for the probability that a contaminated observation in a normal sample isan outlier. Univariate samples with mean-shift or variance inflation contamination were considered. Multivariate samples with inflation of the covariance matrix in which an outlier is the observation with minimum conditional predictive ordinate were also studied. All the results were obtained by numerical integration or simulation.

 

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