Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination
The authors are to be commended for bringing the critical problem of cellwise outliers to the attention of a broader community and providing some important new estimation methods and related theory. High dimensional data analysis has become a critical area for research in statistical theory and prac...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2016
|
| Online Access: | http://hdl.handle.net/1721.1/103291 https://orcid.org/0000-0002-9038-1622 |
| _version_ | 1810976575900876800 |
|---|---|
| author | Welsch, Roy E. |
| author2 | Massachusetts Institute of Technology. Engineering Systems Division |
| author_facet | Massachusetts Institute of Technology. Engineering Systems Division Welsch, Roy E. |
| author_sort | Welsch, Roy E. |
| collection | MIT |
| description | The authors are to be commended for bringing the critical problem of cellwise outliers to the attention of a broader community and providing some important new estimation methods and related theory. High dimensional data analysis has become a critical area for research in statistical theory and practice and, in such situations, removing (or severely downweighting) an entire observation for a single cellwise outlier can eliminate most of the data. |
| first_indexed | 2024-09-23T08:57:28Z |
| format | Article |
| id | mit-1721.1/103291 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:57:28Z |
| publishDate | 2016 |
| publisher | Springer Berlin Heidelberg |
| record_format | dspace |
| spelling | mit-1721.1/1032912022-09-26T09:28:00Z Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination Welsch, Roy E. Massachusetts Institute of Technology. Engineering Systems Division Sloan School of Management Welsch, Roy E. The authors are to be commended for bringing the critical problem of cellwise outliers to the attention of a broader community and providing some important new estimation methods and related theory. High dimensional data analysis has become a critical area for research in statistical theory and practice and, in such situations, removing (or severely downweighting) an entire observation for a single cellwise outlier can eliminate most of the data. 2016-06-23T15:17:50Z 2016-06-23T15:17:50Z 2015-06 2016-05-23T12:12:18Z Article http://purl.org/eprint/type/JournalArticle 1133-0686 1863-8260 http://hdl.handle.net/1721.1/103291 Welsch, Roy E. "Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination." TEST (September 2015) 24:3, pp. 482-483. https://orcid.org/0000-0002-9038-1622 en http://dx.doi.org/10.1007/s11749-015-0452-4 TEST Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Sociedad de Estadística e Investigación Operativa application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg |
| spellingShingle | Welsch, Roy E. Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination |
| title | Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination |
| title_full | Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination |
| title_fullStr | Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination |
| title_full_unstemmed | Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination |
| title_short | Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination |
| title_sort | comments on robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination |
| url | http://hdl.handle.net/1721.1/103291 https://orcid.org/0000-0002-9038-1622 |
| work_keys_str_mv | AT welschroye commentsonrobustestimationofmultivariatelocationandscatterinthepresenceofcellwiseandcasewisecontamination |