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A mixed model approach to conjoint analysis
Dissertation (MSc)--University of Pretoria, 2014.
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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_ | 1867613727976587264 |
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| access_status_str | Open Access |
| author2 | Kanfer, F.H.J. (Frans) |
| author_browse | Kanfer, F.H.J. (Frans) |
| author_facet | Kanfer, F.H.J. (Frans) |
| collection | Thesis |
| dc_rights_str_mv | © 2019 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, 2014. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/79776 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:45.289Z |
| 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:2263/79776 A mixed model approach to conjoint analysis Kanfer, F.H.J. (Frans) frans.kanfer@up.ac.za Cronje, Tanita UCTD Dissertation (MSc)--University of Pretoria, 2014. In this decision-driven era, it has become vital for modelers to efficiently model consumer choices and preferences (from a marketing perspective for instance). Conjoint analysis is a known method which has been used to perform such analyses. A mixed effects model is proposed to perform a conjoint analysis with normal responses, illustrated by an application of modeling respondent’s preferences to different industrial detergents. The proposed model allows for predicting how observed attributes (which describes a product in terms of its characteristics and features) of decision makers and choice options, influence decisions. Inference regarding the parameters of the proposed model with a normal distribution is discussed in the mixed effect conjoint setting. Extensions of this model, regarding Bayesian prior selection are also discussed. Statistics MSc Unrestricted 2021-05-04T11:41:48Z 2021-05-04T11:41:48Z 2014 2014-05 Dissertation Cronje, T 2014, A mixed model approach to conjoint analysis, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/79776> M14/9/149 http://hdl.handle.net/2263/79776 en © 2019 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 A mixed model approach to conjoint analysis |
| title | A mixed model approach to conjoint analysis |
| title_full | A mixed model approach to conjoint analysis |
| title_fullStr | A mixed model approach to conjoint analysis |
| title_full_unstemmed | A mixed model approach to conjoint analysis |
| title_short | A mixed model approach to conjoint analysis |
| title_sort | mixed model approach to conjoint analysis |
| topic | UCTD |
| url | http://hdl.handle.net/2263/79776 |