Table of Contents

• 1. IntroductionJim Albert, Jay M. Bennett, James J. Cochran. 1-4 [doi]
• 2. The Use of Sports in Teaching StatisticsJim Albert, James J. Cochran. 5-10 [doi]
• 3. Introduction to the Football ArticlesHal Stern. 13-15 [doi]
• 4. A Geometry Model for NFL Field Goal KickersScott M. Berry. 17-22 [doi]
• 5. A State-Space Model for National Football League ScoresMark E. Glickman, Hal S. Stern. 23-33 [doi]
• 6. Predictions for National Football League Games via Linear-Model MethodologyDavid Harville. 35-43 [doi]
• 7. The Best NFL Field Goal Kickers: Are They Lucky or Good?Donald G. Morrison, Manohar U. Kalwani. 45-52 [doi]
• 8. On the Probability of Winning a Football GameHal Stern. 53-57 [doi]
• 9. Introduction to the Baseball ArticlesJim Albert, James J. Cochran. 61-66 [doi]
• 10. Exploring Baseball Hitting Data: What about Those Breakdown Statistics?Jim Albert. 67-75 [doi]
• 11. Did Shoeless Joe Jackson Throw the 1919 World Series?Jay M. Bennett. 77-86 [doi]
• 12. Player Game PercentageJay M. Bennett, John A. Flueck. 87-89 [doi]
• 13. Estimation with Selected Binomial Information or Do You Really Believe That Dave Winfield Is Batting .471?George Casella, Roger L. Berger. 91-101 [doi]
• 14. Baseball: Pitching No-HittersCliff Frohlich. 103-109 [doi]
• 15. Answering Questions about Baseball Using StatisticsBill James, Jim Albert, Hal S. Stern. 111-117 [doi]
• 16. The Progress of the Score during a Baseball GameG. R. Lindsey. 119-144 [doi]
• 17. Introduction to the Basketball ArticlesRobert L. Wardrop. 147-148 [doi]
• 18. Improved NCAA Basketball Tournament Modeling via Point Spread and Team Strength InformationBradley P. Carlin. 149-153 [doi]
• 19. It's Okay to Believe in the "Hot Hand"Patrick D. Larkey, Richard A. Smith, Joseph B. Kadane. 155-162 [doi]
• 20. More Probability Models for the NCAA Regional Basketball TournamentsNeil C. Schwertman, Kathryn L. Schenk, Brett C. Holbrook. 163-167 [doi]
• 21. The Cold Facts about the "Hot Hand" in BasketballAmos Tversky, Thomas Gilovich. 169-174 [doi]
• 22. Simpson's Paradox and the Hot Hand in BasketballRobert L. Wardrop. 175-179 [doi]
• 23. Introduction to the Ice Hockey ArticlesRobin H. Lock. 183-186 [doi]
• 24. Statistical Methods for Rating College Hockey TeamsTimothy J. Danehy, Robin H. Lock. 187-192 [doi]
• 25. Overtime or Shootout: Deciding Ties in HockeyWilliam Hurley. 193-196 [doi]
• 26. It Takes a Hot Goalie to Raise the Stanley CupDonald G. Morrison, David C. Schmittlein. 197-201 [doi]
• 27. Introduction to the Methodologies and Multiple Sports ArticlesScott M. Berry. 205-208 [doi]
• 28. Bridging Different Eras in SportsScott M. Berry, C. Shane Reese, Patrick D. Larkey. 209-224 [doi]
• 29. Data Analysis Using Stein's Estimator and Its GeneralizationsBradley Efron, Carl Morris. 225-233 [doi]
• 30. Assigning Probabilities to the Outcomes of Multi-Entry CompetitionsDavid A. Harville. 235-239 [doi]
• 31. Basketball, Baseball, and the Null HypothesisRobert Hooke. 241-243 [doi]
• 32. Lessons from Sports StatisticsFrederick Mosteller. 245-250 [doi]
• 33. Can TQM Improve Athletic Performance?Harry V. Roberts. 251-256 [doi]
• 34. A Brownian Motion Model for the Progress of Sports ScoresHal S. Stern. 257-263 [doi]
• 35. Introduction to the Miscellaneous Sports ArticlesDonald Guthrie. 267-269 [doi]
• 36. Shooting DartsHal S. Stern, Wade Wilcox. 271-274 [doi]
• 38. Adjusting Golf Handicaps for the Difficulty of the CourseFrancis Scheid, Lyle Calvin. 281-285 [doi]
• 39. Rating SkatingGilbert Bassett, Joseph Persky. 287-291 [doi]
• 40. Modeling Scores in the Premier League: Is Manchester United Really the Best?Alan J. Lee. 293-297 [doi]
• 41. Down to Ten: Estimating the Effect of a Red Card in SoccerGeert Ridder, J. S. Cramer, P. Hopstaken. 299-302 [doi]
• 42. Heavy Defeats in Tennis: Psychological Momentum or Random Effect?David Jackson, Krzysztof Mosurski. 303-310 [doi]
• 43. Who Is the Fastest Man in the World?Robert Tibshirani. 311-316 [doi]
• 44. Resizing Triathlons for FairnessHoward Wainer, Richard D. De Veaux. 317-322 [doi]