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Outlier Detection Before Running Statistical Methods

โœ Scribed by Derquenne, C.


Book ID
118226868
Publisher
Society for Industrial and Applied Mathematics
Year
1993
Tongue
English
Weight
423 KB
Volume
37
Category
Article
ISSN
0040-585X

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This paper deals with the problem of identifying and testing a number of extreme sample elements ( t = !. 2. 3 and ,1) as significant outliers in a sample of size n from a K-dimensional normal distribution with unknown parameters. Accommodation of detected outliers is effected through outlier-robust