Comparison of robust estimators for detecting outliers in multivariate datasets

Detecting outliers for multivariate data is difficult and does not work by visual inspection. Mahalanobis distance (MD) has been a classical method to detect outliers in multivariate data. However, classical mean and covariance matrix in MD suffer from masking and swamping effects. Masking effects h...

詳細記述

書誌詳細
主要な著者: Sharifah Sakinah, Syed Abd Mutalib, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff
フォーマット: Conference or Workshop Item
言語:English
出版事項: IOP Publishing 2021
主題:
オンライン・アクセス:http://umpir.ump.edu.my/id/eprint/35199/1/Comparison%20of%20robust%20estimators%20for%20detecting%20outliers%20in%20multivariate%20datasets.pdf