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Hybrid Paired Comparison Analysis, with Applications to the Ranking of College Football Teams
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David H. Annis
Veröffentlicht/Copyright:
13. Oktober 2005
Existing paired comparison models used for ranking football teams primarily focus on either wins and losses or points scored (either via each team's total or a margin of victory). While reasonable, each approach fails to produce satisfactory rankings in frequently arising situations due to its ignorance of additional data. We propose a new, hybrid model incorporating both wins and constituent scores and show that it outperforms its competitors and is robust against model mis-specification based on a series of simulation studies. We conclude by illustrating the method using the 2003-04 and 2004-05 college football seasons.
Published Online: 2005-10-13
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Artikel in diesem Heft
- Letter from the Editor
- A First Step
- Practitioner's Comment
- Football's Hilbert Problems
- Article
- Hybrid Paired Comparison Analysis, with Applications to the Ranking of College Football Teams
- A Procedure for Prediction of Sports Records
- Determinants of Success in the Olympic Decathlon: Some Statistical Evidence
- Book Review
- Scientific Football 2005 (by KC Joyner)
Artikel in diesem Heft
- Letter from the Editor
- A First Step
- Practitioner's Comment
- Football's Hilbert Problems
- Article
- Hybrid Paired Comparison Analysis, with Applications to the Ranking of College Football Teams
- A Procedure for Prediction of Sports Records
- Determinants of Success in the Olympic Decathlon: Some Statistical Evidence
- Book Review
- Scientific Football 2005 (by KC Joyner)
