Graphical Methods for Evaluating the Effect of Outliers in Univariate and Bivariate Data

일변량 및 이변량 자료에 대하여 특이값의 영향을 평가하기 위한 그래픽 방법

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.