Bibliography
This list is a supplement to Wilson's Bibliography, with some overlap.
This folder contains PDF versions of the papers below.
- Hybrid Paired Comparison Analysis, with Applications to the Ranking of College Football Teams
(Annis/Craig, 2005)
- Dimension Reduction for Hybrid Paired Comparison Models
(Annis, 2007)
- A Solution to the Unequal Strength of Schedule Problem
(Bethel, 2005)
- Reweighting the Bowl Championship Series
(Buchman/Kadane, 2008)
- Random Walker Ranking for NCAA Division I-A Football
(Callaghan/Mucha/Porter, 2007)
- An extension of Zermelo's model for ranking by paired comparisons
(Conner/Grant, 2000)
- Development of a Darwinian Scheme for Estimating Rankings Under a Stochastic Ordering
(Donahue, 2000)
- A Comprehensive Guide to Chess Ratings
(Glickman)
- Dynamic Paired Comparison Models with Stochastic Variances
(Glickman, 2000)
- Parameter Estimation in Large Dynamic Paired Comparison Experiments
(Glickman, 1999)
- A State-Space Model for National Football League Scores
(Glickman/Stern, 1998)
- Offense-Defense Approach to Ranking Team Sports
(Govan/Langville/Meyer, 2009)
- The Home-Court Advantage: How Large Is It, and Does It Vary from Team to Team?
(Harville, 1994)
- Predictions for National Football League Games Via Linear-Model Methodology
(Harville, 1980)
- The Use of Linear-Model Methodology to Rate High School or College Football Teams
(Harville, 1977)
- March Madness and the Office Pool
(Kaplan/Garstka, 2001)
- Bayesian and Non-Bayesian Analysis of Soccer Data using Bivariate Poisson Regression Models (with slides)
(Karlis/Ntzoufras, 2003)
- Bayesian modelling of football outcomes: Using the Skellam's distribution for the goal difference
(Karlis/Ntzoufras, 2007)
- The Perron-Forbenius Theorem and the Ranking of Football Teams
(Keener, 1993)
- A Characterization of the Poisson Distribution and the Probability of Winning a Game
(Keller, 1994)
- Maas's Rating System
(Maas, 2002)
- A Markov Method for Ranking College Football Conferences
(Mattingly/Murphy, 2010)
- Forecasting international soccer match results using bivariate discrete distributions
(McHale/Scarf)
- Modelling soccer matches using bivariate discrete distributions with general dependence structure
(McHale/Scarf)
- A Penalized Maximum Likelihood Approach for the Ranking of College Football Teams Independent of Victory Margins
(Mease, 2003)
- A Bradley-Terry Artificial Neural Network Model for Individual Ratings in Group Competitions
(Menke/Martinez, 2006)
- AccuV College Football Ranking Model
(Miles/Fowks/Coulter, 2010)
- A Mathematical Rating System
(Minton, 1992)
- An Artificial Neural Network Approach to College Football Prediction and Ranking
(Pardee, 1999)
- A network-based ranking system for US college football
(Park/Newman, 2005)
- When Perfect Isn't Good Enough: Retrodictive Rankings in College Football
(Pasteur, 2010)
- Least Squares Model For Predicting College Football Scores
(Reid, 2003)
- Rating Systems for Gameplayers and Learning
(Smith, 1993)
- Statistics and the College Football Championship
(Stern, 2004)
- A Brownian Motion Model for the Progress of Sports Scores
(Stern, 1994)
- On the Probability of Winning a Football Game
(Stern, 1991)
- A Continuum of Paired Comparisons Models
(Stern, 1990)
- Any Given Sunday: Fair Competitor Orderings with Maximum Likelihood
(Thompson, 1975)
- An Effective Nonlinear Rewards-Based Ranking System
(Trono, 2007)
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