Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Contributions to Linear Regression diagnostics using the singular value decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Statistical Sciences
2014
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613305727614976 |
|---|---|
| access_status_str | Open Access |
| author | Ramaboa, Kutlwano |
| author2 | Underhill, Les |
| author_browse | Ramaboa, Kutlwano Underhill, Les |
| author_facet | Underhill, Les Ramaboa, Kutlwano |
| author_sort | Ramaboa, Kutlwano |
| collection | Thesis |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/4391 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:00.978Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/4391 Contributions to Linear Regression diagnostics using the singular value decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data Ramaboa, Kutlwano Underhill, Les Statistical Sciences 2014-07-30T17:44:17Z 2014-07-30T17:44:17Z 2010 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/4391 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town |
| spellingShingle | Statistical Sciences Ramaboa, Kutlwano Contributions to Linear Regression diagnostics using the singular value decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data |
| thesis_degree_str | Doctoral |
| title | Contributions to Linear Regression diagnostics using the singular value decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data |
| title_full | Contributions to Linear Regression diagnostics using the singular value decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data |
| title_fullStr | Contributions to Linear Regression diagnostics using the singular value decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data |
| title_full_unstemmed | Contributions to Linear Regression diagnostics using the singular value decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data |
| title_short | Contributions to Linear Regression diagnostics using the singular value decompostion: Measures to Indentify Outlying Observations, Influential Observations and Collinearity in Multivariate Data |
| title_sort | contributions to linear regression diagnostics using the singular value decompostion measures to indentify outlying observations influential observations and collinearity in multivariate data |
| topic | Statistical Sciences |
| url | http://hdl.handle.net/11427/4391 |
| work_keys_str_mv | AT ramaboakutlwano contributionstolinearregressiondiagnosticsusingthesingularvaluedecompostionmeasurestoindentifyoutlyingobservationsinfluentialobservationsandcollinearityinmultivariatedata |