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

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