A New Graphical Method for Detecting Single and Multiple Outliers in Univariate and Multivariate Data
基于Wilks统计量提出一种新图形方法，用于检测单变量和多变量数据中的异常值，并能揭示样本中的掩蔽和淹没效应。
SUMMARY A new graphical approach based on Wilks's (1963) statistic is proposed. The method is found to be useful in the detection of outliers in univariate and multivariate data. Masking and swamping effects in the sample are easily revealed. The method is illustrated with examples and simulations.