Resultaten voor 'jim albert'

Statistical Thinking in Sports

Sports have been fruitful areas of application of statistical research for many years. Featuring contributions from leading researchers in this area, Statistical Thinking in Sports covers statistical and econometric methodology along with a range of sporting applications. Organized by statistical theme, this book addresses topics such as ranking and performance measurement, measurement and interpretation of home advantage, measurement of interventions in sports, competitive balance, limits of sports, betting, and attendance of sporting events. The book balances US-based sports with European-based sports.

Handbook of Statistical Methods and Analyses in Sports

This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.

Anthology of Statistics in Sports

1. Introduction; 2. The use of sports in teaching statistics; Part I. Statistics in Football. 3. Introduction to the football articles; 4. A geometry model for NFL field goal kickers; 5. A state-space model for National Football League scores; 6. Predictions for National Football League games via linear-model methodology; 7. The best NFL Field goal kickers. are they lucky or good?; 8. On the probability of winning a football game; Part II. Statistics in Baseball.. 9. Introduction to the baseball Articles; 10. Exploring baseball Hitting Data. What About Those breakdown Statistics?; 11. Did shoeless Joe Jackson Throw the 1919 World Series?; 12. Player Game Percentage; 13. Estimation with selected binomial Information or Do You Really Believe that Dave Winfield Is batting .471?; 14. Baseball: Pitching No-Hitters; 15. Answering Questions about baseball Using statistics; 16. The Progress of the score During a Baseball Game; Part III. Statistics in Basketball: 17. Introduction to the Basketball Articles; 18. Improved NCAA Basketball Tournament Modeling via Point Spread and Team strength Information; 19. It's Okay to Believe in the 'hot hand'; 20. More Probability models for the NCAA Regional basketball Tournaments; 21. The Cold Facts About the 'hot hand' in basketball; 22. Simpson's Paradox and the Hot Hand in basketball; Part IV. Statistics in Ice Hockey: 23. Introduction to the Ice Hockey Articles; 24. Statistical Methods for Rating College Hockey Teams; 25. Overtime or shootout. Deciding Ties in Hockey; 26. It Takes a Hot Goalie to Raise the Stanley Cup; Part V. Statistical Methodologies and Multiple Sports: 27. Introduction to the Methodologies and Multiple Sports Articles; 28. Bridging Different Eras in sports; 29. Data Analysis Using Stein's Estimator and Its Generalizations; 30. Assigning Probabilities to the Outcomes of Multi-Entry Competitions; 31. Basketball, Baseball, and the Null Hypothesis; 32. Lessons from sports statistics; 33. Can TQM Improve Athletic Performance?; 34. A Brownian Motion Model for the Progress of sports scores; Part VI. Statistics in Miscellaneous Sports: 35. Introduction to the Miscellaneous Sports Articles; 36. Shooting Darts; 37. Drive for show and Putt for Dough; 38. Adjusting Golf handicaps for the difficulty of the Course; 39. Rating Skating; 40. Modeling scores in the Premier League. is Manchester United really the Best?; 41. Down to Ten. Estimating the effect of a Red Card in Soccer; 42. Heavy Defeats in Tennis. Psychological Momentum or Random effect?; 43. Who is the fastest Man in the World?; 44. Resizing Triathlons for Fairness.

1. Jim , Albert

Visualizing Baseball

Visualizing Baseball provides a visual exploration of the game of baseball. Graphical displays are used to show how measures of performance, at the team level and the individual level, have changed over the history of baseball. Graphs of career trajectories are helpful for understanding the rise and fall of individual performances of hitters and pitchers over time. One can measure the contribution of plays by the notion of runs expectancy. Graphs of runs expectancy are useful for understanding the importance of the game situation defined by the runners on base and number of outs. Also the runs measure can be used to quantify hitter and pitch counts and the win probabilities can be used to define the exciting plays during a baseball game. Special graphs are used to describe pitch data from the PitchFX system and batted ball data from the Statcast system. One can explore patterns of streaky performance and clutch play by the use of graphs, and special plots are used to predict final season batting averages based on data from the middle of the season.This book was written for several types of readers. Many baseball fans should be interested in the topics of the chapters, especially those who are interested in learning more about the quantitative side of baseball. Many statistical ideas are illustrated and so the graphs and accompanying insights can help in promoting statistical literacy at many levels. From a practitioner's perspective, the chapters offer many illustrations of the use of a modern graphics system and R scripts are available on an accompanying website to reproduce and potentially improve the graphs in this book.

Handbook of Statistical Methods and Analyses in Sports

This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area.

The Oxford Anthology of Statistics in Sports

A collection of a wide range of research papers on applications of statistics to various sports from journals published by the American Statistical Association and the Royal Statistical Society.