Robust diagnostics and parameter estimation in linear regression for high dimensional data
Several methods of identification of HLPs in HDD have been put forth, including the methods of Robust Mahalanobis Distance (RMD) based on Minimum Regularized Covariance Determinant (MRCD) and Robust Principal Component Analysis (ROBPCA). However, they suffer from masking and swamping effects when...
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| Format: | Thesis |
| Language: | en |
| Published: |
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/118358/1/118358.pdf http://psasir.upm.edu.my/id/eprint/118358/ http://ethesis.upm.edu.my/id/eprint/18371 |
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