Abstract
The concept of robustness in statistics is examined. Starting from the concepts of the breakdown point and equivariance properties of an estimator, the desired equivariance properties for shape fitting are defined, and high breakdown point methods with these properties are found.
Original language | English |
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Title of host publication | Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
Publisher | IEEE Computer Society |
Pages | 540-546 |
Number of pages | 7 |
ISBN (Electronic) | 0818628553 |
DOIs | |
State | Published - 1992 |
Event | 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 - Champaign, United States Duration: 15 Jun 1992 → 18 Jun 1992 |
Publication series
Name | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
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Volume | 1992-June |
ISSN (Print) | 1063-6919 |
Conference
Conference | 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 |
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Country/Territory | United States |
City | Champaign |
Period | 15/06/92 → 18/06/92 |
Bibliographical note
Publisher Copyright:© 1992 IEEE.