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...
| 主要な著者: | , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
IOP Publishing
2021
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| 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 |