Diagnostics and Robust Estimation in Multivariate Data Transformations
提出一种检测多元异常值的方法，这些异常值可能扭曲正态性变换的估计，并给出变换参数的稳健估计量。
Abstract This article presents a method for detecting multivariate outliers that might be distorting the estimation of a transformation to normality. It also proposes a robust estimator of the transformation parameter.