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Nonparametric logistic regression using smoothing splines
Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2012.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2013
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| _version_ | 1867613517779042304 |
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| access_status_str | Open Access |
| author2 | monne.joubert@absa.co.za |
| author_browse | monne.joubert@absa.co.za |
| author_facet | monne.joubert@absa.co.za |
| collection | Thesis |
| dc_rights_str_mv | © 2012 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria |
| description | Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2012. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/30889 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:24.815Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/30889 Nonparametric logistic regression using smoothing splines monne.joubert@absa.co.za Dr F Kanfer Mr S M Millard Joubert, Morne UCTD Nonparametric regression Smoothing splines Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2012. Logistic regression is a well-established technique for modeling a discrete response variable as a function of explanatory variables. The aim of this study is to introduce nonparametric regression using smoothing splines. Nonparametric regression yields a more flexible way of estimating curves and provides a larger set of functions to work from, which is not limited to a family of functions as in the parametric regression framework. Nonparametric regression falls into the framework of the general additive model with the natural cubic spline as the solution to the penalised least square criterion. Models are fitted using natural cubic splines. B-splines will be implemented due to their computational advantages gained from their almost orthogonal structure. Software, PROC IML within SAS, will be written to estimate these models. Statistics MSc (Mathematical Statistics) Unrestricted 2013-09-09T07:46:49Z 2013-06-10 2013-09-09T07:46:49Z 2013-04-17 2012-06-10 2013-06-03 Dissertation Joubert, M 2012, Nonparametric logistic regression using smoothing splines MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://upetd.up.ac.za/thesis/available/etd-06032013-114114 / > E13/4/501/gm http://hdl.handle.net/2263/30889 http://upetd.up.ac.za/thesis/available/etd-06032013-114114/ en © 2012 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria application/pdf University of Pretoria |
| spellingShingle | UCTD Nonparametric regression Smoothing splines Nonparametric logistic regression using smoothing splines |
| title | Nonparametric logistic regression using smoothing splines |
| title_full | Nonparametric logistic regression using smoothing splines |
| title_fullStr | Nonparametric logistic regression using smoothing splines |
| title_full_unstemmed | Nonparametric logistic regression using smoothing splines |
| title_short | Nonparametric logistic regression using smoothing splines |
| title_sort | nonparametric logistic regression using smoothing splines |
| topic | UCTD Nonparametric regression Smoothing splines |
| url | http://hdl.handle.net/2263/30889 http://upetd.up.ac.za/thesis/available/etd-06032013-114114/ |