한국품질경영학회:학술대회논문집 (Proceedings of the Korean Society for Quality Management Conference)
- 한국품질경영학회 2006년도 추계 학술대회
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- Pages.221-226
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- 2006
일변량 및 이변량 자료에 대하여 특이값의 영향을 평가하기 위한 그래픽 방법
Graphical Methods for Evaluating the Effect of Outliers in Univariate and Bivariate Data
- 장대흥 (부경대학교 수리과학부)
- Jang, Dae-Heung (Division of Mathematical Sciences, Pukyong National University)
- 발행 : 2006.11.17
초록
We usually use two techniques(influence function and local influence) for detecting outliers. But, we cannot use these difficult techniques in elementary industrial statistics course for college students. We can use some simple graphical methods(box plot, dandelion seed plot, influence graph and cumulative deletion plot) for univariate and bivariate outlier detection and outlier effect in elementary industrial statistics course for college students.