Artikel
A computationally intensive ranking system for paired comparison data
In this paper, we introduce a new ranking system where the data are preferences resulting from paired comparisons. When direct preferences are missing or unclear, then preferences are determined through indirect comparisons. Given that a ranking of n subjects implies paired preferences, the resultant computational problem is the determination of an optimal ranking where the agreement between the implied preferences via the ranking and the data preferences is maximized. Comparisons are carried out via simulation studies where the proposed rankings outperform Bradley-Terry in a particular predictive comparison.
- Language
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Englisch
- Bibliographic citation
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Journal: Operations Research Perspectives ; ISSN: 2214-7160 ; Volume: 5 ; Year: 2018 ; Pages: 105-112 ; Amsterdam: Elsevier
- Classification
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Wirtschaft
- Subject
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Nonparametric methods
NCAA basketball
Ranking
Simulated annealing
Statistical computing
- Event
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Geistige Schöpfung
- (who)
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Beaudoin, David
Swartz, Tim
- Event
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Veröffentlichung
- (who)
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Elsevier
- (where)
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Amsterdam
- (when)
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2018
- DOI
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doi:10.1016/j.orp.2018.03.002
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Beaudoin, David
- Swartz, Tim
- Elsevier
Time of origin
- 2018
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