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Customer Value Management Using the Cox Additive Regression Model
Dissertation (MSc)--University of Pretoria, 2013.
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| Other Authors: | |
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2021
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| _version_ | 1867613481151234048 |
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| access_status_str | Open Access |
| author2 | Jan.vanWykdeVries@soe.co.za |
| author_browse | Jan.vanWykdeVries@soe.co.za |
| author_facet | Jan.vanWykdeVries@soe.co.za |
| collection | Thesis |
| dc_rights_str_mv | © 2020 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)--University of Pretoria, 2013. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/79198 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:49.885Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| 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:2263/79198 Customer Value Management Using the Cox Additive Regression Model Jan.vanWykdeVries@soe.co.za van Wyk de Vries, Jan UCTD Dissertation (MSc)--University of Pretoria, 2013. The Cox-Proportional Hazards model is introduced as a potential tool to understand customer behavior relating to churn or disconnections in the telecommunications space. An overview of Survival Analysis is provided along with its associated quantities and metrics with examples to better illustrate concepts. The derivation of the classical Cox-Proportional Hazards model is discussed in detail and applied to network behavioural data. The development of additive models and generalised additive models are traced and described as a prelude to the additive Cox-Proportional Hazards Regression. The cubic splines are used as a tool to automatically detect trends in the customer data and this is compared to the findings of the classic Cox-Proportional Hazard. It is shown that using the cubic splines, trends are automatically detected in the data and the cubic spline functions themselves can be easily derived and implemented using the RCS macro. Insights and recommendations are reported on and made available to the Network for use in informing future retention strategies and in general, to better understand customer specific behaviour. Statistics MSc Unrestricted 2021-04-06T07:22:07Z 2021-04-06T07:22:07Z 2014/07/06 2013 Dissertation van Wyk de Vries, J 2013, Customer Value Management Using the Cox Additive Regression Model, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/79198> M14/9/241 http://hdl.handle.net/2263/79198 en © 2020 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 Customer Value Management Using the Cox Additive Regression Model |
| title | Customer Value Management Using the Cox Additive Regression Model |
| title_full | Customer Value Management Using the Cox Additive Regression Model |
| title_fullStr | Customer Value Management Using the Cox Additive Regression Model |
| title_full_unstemmed | Customer Value Management Using the Cox Additive Regression Model |
| title_short | Customer Value Management Using the Cox Additive Regression Model |
| title_sort | customer value management using the cox additive regression model |
| topic | UCTD |
| url | http://hdl.handle.net/2263/79198 |