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- Study of the Technical and Tactical Variables Determining Set Win or Loss in Top-Level European Men's Volleyball by Rodriguez-Ruiz, David/ Quiroga, Miriam E./ Miralles, Jose A./ Sarmiento, Samuel/ de Saá, Yves and García-Manso, Juan M.
- A Starting Point for Analyzing Basketball Statistics by Kubatko, Justin/ Oliver, Dean/ Pelton, Kevin and Rosenbaum, Dan T
- Does Effectiveness of Skill in Complex I Predict Win in Men's Olympic Volleyball Games? by Zetou, Eleni/ Moustakidis, Athanasios/ Tsigilis, Nikolaos and Komninakidou, Andromahi
- Models for Third Down Conversion in the National Football League by Cafarelli, Ryan/ Rigdon, Christopher J. and Rigdon, Steven E.
- Testing the On-Court Efficacy of the NBA's Age Eligibility Rule by Rodenberg, Ryan and Kim, Jun Woo
The Sensitivity of College Football Rankings to Several Modeling Choices
1Arizona State University
Citation Information: Journal of Quantitative Analysis in Sports. Volume 8, Issue 3, Pages –, ISSN (Online) 1559-0410, DOI: 10.1515/1559-0410.1471, October 2012
- Published Online:
This paper proposes a multiple-membership generalized linear mixed model for ranking college football teams using only their win/loss records. The model results in an intractable, high-dimensional integral due to the random effects structure and nonlinear link function. We use recent data sets to explore the effect of the choice of integral approximation and other modeling assumptions on the rankings. Varying the modeling assumptions sometimes leads to changes in the team rankings that could affect bowl assignments.