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Assessing Methods for College Football Rankings
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Ryan Gill
Veröffentlicht/Copyright:
1. Mai 2009
With the advent of the Bowl Championship Series (BCS) much emphasis has been placed on ranking teams. We consider several mathematical methods for ranking college football teams based on point differential including least squares with fixed or mixed effects. We also consider the use of modifications such as truncating or censoring (such as Harville's method) the result to adjust for the possibility of teams running up the score. We assess the predictive performance of these models using leave-one-out cross validation. The methods and analyses are applied to all major NCAA football data from 1930-2007.
Keywords: college football rankings; linear models; weighted linear squares; censoring; cross validation
Published Online: 2009-5-1
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Schlagwörter für diesen Artikel
college football rankings;
linear models;
weighted linear squares;
censoring;
cross validation
Artikel in diesem Heft
- Conference Paper
- A Statistical Analysis of NFL Quarterback Rating Variables
- Optimizing Football Game Play Calling
- Assessing Methods for College Football Rankings
- Chasing DiMaggio: Streaks in Simulated Seasons Using Non-Constant At-Bats
- Modeling Baseball Player Ability with a Nested Dirichlet Distribution
- `If the Team Doesn't Win, Nobody Wins:' A Team-Level Analysis of Pay and Performance Relationships in Major League Baseball
- Keeping the Hitter Off Balance: Mixed Strategies in Baseball
- Using Simulation to Estimate the Impact of Baserunning Ability in Baseball
- A New Handicapping System for Golf
- Scramble Teams for the Pinehurst Terrapin Classic
- Pythagoras and the National Hockey League
