Diagnostic for measuring influence in data envelopment analysis

Liam O'Neill, Holly S. Lewis, J. Keith Ord

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

The superefficiency (SE) model for data envelopment analysis (DEA) measures the influence of each decision-making unit on the efficient frontier and identifies those observations exerting the most influence. As such, the SE model is useful in identifying potential data errors. It also obviates the need for non-Archimedian infinitesimal constraints and eliminates the inherent problem of primal multiple optimal solutions and dual degeneracy characteristic of other DEA model versions.

Original languageEnglish
Pages1041-1043
Number of pages3
StatePublished - 1 Dec 1996
EventProceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3) - Orlando, FL, USA
Duration: 24 Nov 199626 Nov 1996

Other

OtherProceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3)
CityOrlando, FL, USA
Period24/11/9626/11/96

Fingerprint

Data envelopment analysis
Decision making
Diagnostics
Super-efficiency

Cite this

O'Neill, L., Lewis, H. S., & Ord, J. K. (1996). Diagnostic for measuring influence in data envelopment analysis. 1041-1043. Paper presented at Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3), Orlando, FL, USA, .
O'Neill, Liam ; Lewis, Holly S. ; Ord, J. Keith. / Diagnostic for measuring influence in data envelopment analysis. Paper presented at Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3), Orlando, FL, USA, .3 p.
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O'Neill, L, Lewis, HS & Ord, JK 1996, 'Diagnostic for measuring influence in data envelopment analysis' Paper presented at Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3), Orlando, FL, USA, 24/11/96 - 26/11/96, pp. 1041-1043.

Diagnostic for measuring influence in data envelopment analysis. / O'Neill, Liam; Lewis, Holly S.; Ord, J. Keith.

1996. 1041-1043 Paper presented at Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3), Orlando, FL, USA, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Diagnostic for measuring influence in data envelopment analysis

AU - O'Neill, Liam

AU - Lewis, Holly S.

AU - Ord, J. Keith

PY - 1996/12/1

Y1 - 1996/12/1

N2 - The superefficiency (SE) model for data envelopment analysis (DEA) measures the influence of each decision-making unit on the efficient frontier and identifies those observations exerting the most influence. As such, the SE model is useful in identifying potential data errors. It also obviates the need for non-Archimedian infinitesimal constraints and eliminates the inherent problem of primal multiple optimal solutions and dual degeneracy characteristic of other DEA model versions.

AB - The superefficiency (SE) model for data envelopment analysis (DEA) measures the influence of each decision-making unit on the efficient frontier and identifies those observations exerting the most influence. As such, the SE model is useful in identifying potential data errors. It also obviates the need for non-Archimedian infinitesimal constraints and eliminates the inherent problem of primal multiple optimal solutions and dual degeneracy characteristic of other DEA model versions.

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M3 - Paper

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O'Neill L, Lewis HS, Ord JK. Diagnostic for measuring influence in data envelopment analysis. 1996. Paper presented at Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3), Orlando, FL, USA, .