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Outlier Detection Using Dynamic Plots
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 Title & Authors
Outlier Detection Using Dynamic Plots
Ahn, Byung-Jin; Seo, Han-Son;
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 Abstract
A linear regression method is commonly used to analyze data because of its simplicity and applicability; however, it is well known that data may contain some outliers and influential cases that may have a harmful effect on a statistical analysis. Thus detection and examination of outliers or influential cases are important parts of data analysis. In detecting multiple outliers, masking effects usually occur and make it difficult to identify the true outliers. We propose to use dynamic plots as a method resistant to masking effect. The procedure using dynamic plots is useful to find appropriate basic sets with which a dependent outliers detection method start and detect a true outliers set. Examples are given to demonstrate the effectiveness of the suggested idea.
 Keywords
Dynamic graphics;linear regression model;outliers;residual plots;
 Language
Korean
 Cited by
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그럽 및 코크란 검정을 이용한 임상자료의 이상치 판단,손기철;신임희;

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