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A new approach for extreme values in data envelopment analysis
Dissertation (MSc)--University of Pretoria, 2015.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2015
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| _version_ | 1867613609779003392 |
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| access_status_str | Open Access |
| author2 | Yadavalli, Venkata S. Sarma |
| author_browse | Yadavalli, Venkata S. Sarma |
| author_facet | Yadavalli, Venkata S. Sarma |
| collection | Thesis |
| dc_rights_str_mv | © 2015 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, 2015. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/50728 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:38:52.535Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| 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:2263/50728 A new approach for extreme values in data envelopment analysis Yadavalli, Venkata S. Sarma u25222092@tuks.co.za Naidoo, Thayendran Arulsivanathan UCTD Dissertation (MSc)--University of Pretoria, 2015. Data Envelopment Analysis (DEA) is methodology for relative performance measurement and has been extensively utilised over the past few decades. DEA is however sensitive to the presence of outliers in the data and can cause inaccurate reflections of the relative efficiency score and the projections of inefficient Decision Making Units (DMU) onto the efficient frontier. Stochastic frontier analysis can accommodate for the statistical noise but makes certain assumptions on the data. This dissertation introduces an approach to accommodate for outliers in a DEA model without removing observation that would otherwise affect the results. The results on the proposed model are compared to two deterministic and three stochastic models, and have shown an increase in the efficiency score and the number of efficient DMUs and an increase in the overall efficiency scores. tm2015 Industrial and Systems Engineering MSc Unrestricted 2015-11-25T09:47:27Z 2015-11-25T09:47:27Z 2015/09/01 2015 Dissertation Naidoo, TA 2015, A new approach for extreme values in data envelopment analysis, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/50728> S2015 http://hdl.handle.net/2263/50728 en © 2015 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 new approach for extreme values in data envelopment analysis |
| title | A new approach for extreme values in data envelopment analysis |
| title_full | A new approach for extreme values in data envelopment analysis |
| title_fullStr | A new approach for extreme values in data envelopment analysis |
| title_full_unstemmed | A new approach for extreme values in data envelopment analysis |
| title_short | A new approach for extreme values in data envelopment analysis |
| title_sort | new approach for extreme values in data envelopment analysis |
| topic | UCTD |
| url | http://hdl.handle.net/2263/50728 |