Resultaten voor 'jim albert'

1. Jim Albert
2. Jay Bennett

Curve Ball

To be sure, this ever-growing group of aficionados brought a lot of sophistication to baseball analysis, and were constantly looking for statistical insights beyond the listings of the top ten batters found in popular newspapers and magazines.

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.

1. Jim Albert

Visualizing Baseball

"Jim Albert has a new book out. It’s called Visualizing Baseball and it’s a treat. It is a pretty short book—just 135 pages—and many of those pages are filled with graphs rather than text. Jim is adept at combining words and visuals. His prose is pointed and precise, and he doesn’t waste time 'sabersplaining.' Instead, he articulates a concept and then shows it on a graph. Both parts of your brain are engaged, your understanding deepens, and the lessons carry longer.The graphs start out simple and grow in complexity as the content becomes more complex. Moving from simple scatterplots with fitted lines, Albert moves onto graphs with elaborate labels and changes the size of dots based on some underlying values. He inserts box plots, classic PITCHf/x graphs, density graphs, isobars and violin plots, to name a few techniques. It sounds overwhelming, but each graph builds on a previous one, and it all makes sense as you move along. Most importantly, Albert doesn’t clog his graphs with lots of graph junk and needless color. The only color is blue—everything else is in black/gray scale. So many graphs these days seem to be built to impress other graphic artists instead of educating the reader. This book is a welcome antidote to that trend."~The Hardball Times "The primary aim of the book is well executed. In almost all cases the graphics are well thought out, and quickly communicate characteristics in the data, that would be difficult to convey using tables or summary statistics. The quality of the diagrams and the printing is very good. Each diagram comes with a clear explanation and many of the results are demonstrated usingwell known players."~Journal of Statistical Software"This is a book written by a statistician for the stats enthusiast about baseball. I say stats enthusiast and not statistician because little to no stats experience is required to understand the book. Likewise little expertise about baseball is assumed...The big appeal to Visualizing Baseball is the graphs...I learned a lot from Visualizing Baseball, and that's impressive given that the book is only 142 pages. I'm glad I spent the time to read it."~Jack Davis, Simon Fraser University

1. Jim Albert
2. Jay Bennett

Curve Ball

To be sure, this ever-growing group of aficionados brought a lot of sophistication to baseball analysis, and were constantly looking for statistical insights beyond the listings of the top ten batters found in popular newspapers and magazines.

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.