Comparison of Robust Estimators’ Performance for Detecting Outliers in Multivariate Data
Comparison of Robust Estimators’ Performance for Detecting Outliers in Multivariate Data
In multivariate data, outliers are difficult to detect especially when the dimension of the data increase. Mahalanobis distance (MD) has been one of the classical methods to detect outliers for multivariate data. However, the classical mean and covariance matrix in MD suffered from masking and swamping effects if the data …