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http://dx.doi.org/10.5351/KJAS.2017.30.1.159

Outlier tests on potential outliers  

Seo, Han Son (Department of Applied Statistics, Konkuk University)
Publication Information
The Korean Journal of Applied Statistics / v.30, no.1, 2017 , pp. 159-167 More about this Journal
Abstract
Observations identified as potential outliers are usually tested for real outliers; however, some outlier detection methods skip a formal test or perform a test using simulated p-values. We introduce test procedures for outliers by testing subsets of potential outliers rather than by testing individual observations of potential outliers to avoid masking or swamping effects. Examples to illustrate methods and a Monte Carlo study to compare the power of the various methods are presented.
Keywords
diagnostics; linear model; masking; outliers; swamping;
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Times Cited By KSCI : 1  (Citation Analysis)
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