The Oxford Anthology of Statistics in Sports: Volume 1: 2000-2004

by James Cochran (Editor), Jay Bennett (Editor), Jim Albert (Editor)

Overview

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 from 2000 through 2004. The anthology is divided into eight sections (Baseball, Cricket, Football, Golf, Olympics/Track & Field, Soccer, Other Sports, and Miscellaneous), each comprising several research articles on applications of statistics to the corresponding sport written by leading researchers, and each featuring an original introduction written by a leading researcher on the application of statistics to the corresponding sport. The anthology includes research papers at all levels of statistical sophistication that utilize a wide variety of statistical methods, and should therefore be of great interest to the statistically inclined sports fan as well as instructors and students of statistics who are looking for examples of interesting applications of statistics to problems in sports.

Product Details

ISBN-13:	9780198724926
Publisher:	Oxford University Press
Publication date:	08/22/2017
Series:	Oxford Series on Science in Sports
Pages:	544
Product dimensions:	7.40(w) x 9.60(h) x 1.10(d)

About the Author

James Cochran, Professor of Statistics, University of Alabama,Jay Bennett, ,Jim Albert, Professor of Mathematics and Statistics, Bowling Green State University

James J. Cochran earned a PhD in Statistics from the University of Cincinnati in 1997. He was a founding co-chair of Statistics Without Borders and a member of the founding committee for INFORMS Pro Bono Analytics initiative. He is a Fellow of the ASA, a recipient of the ASA's Founders Award, and a recipient of the Karl E. Peace Award for outstanding statistical contributions for the betterment of society.

Jay Bennett studied at Colgate University and the University of Michigan, and later obtained a Ph.D. from Temple University. He has worked and performed research in the areas of computer science, operations research, and telecommunications. He was the editor of Statistics in Sport and the co-author (with Jim Albert) of Curve Ball.

Jim Albert has authored Teaching Statistics Using Baseball, and co-authored Curve Ball (with Jay Bennett) and Analyzing Baseball with R (with Max Marchi). He is a previous editor of the Quantitative Analysis of Sports. His research interests include Bayesian inference, statistics education, and statistical thinking in sports.

Table of Contents

Baseball
Baseball Introduction, Hirotsu Nobuyoshi
1. Were the 1996-2000 Yankees the Best Baseball Team Ever?, Gary A. Simon and Jeffrey S. Simonoff
2. Comparing the Performance of Baseball Players, Gary Koop
3. Career Records for All Modern Position Players Eligible for the Major League Baseball Hall of Fame, James J. Cochran
4. Streakiness in Team Performance, Jim Albert
5. Do Baseball Players Regress toward the Mean?, Teddy Schall and Gary Smith
Olympics/Track & Field
Olympics/Track & Field Introduction, Gerard Sierksma
6. Gold Medals, Protests, and Trading Ratings: The 2002 Winter Olympics Figure Skating, Scott M. Berry
7. One Modern Man or 15 Tarzans?, Scott M. Berry
8. Evaluation of the Current Decision Rule in Figure Skating and Possible Improvements, Samuel S. Wu and Mark C. K. Yang
9. An Analysis of Decathlon Data, Trevor F. Cox and Ryan T. Dunn
American Football
American Football Introduction, Sharif Melouk
10. College Football Rankings, Scott M. Berry
11. Tiered Polychotomous Regression: Ranking NFL Quarterbacks, Chris White and Scott Berry
12. The Cold-Foot Effect, Scott M. Berry
13. A Penalized Maximum Likelihood Approach for the Ranking of College Football Teams Independent of Victory Margins, David Mease
14. The Return of a Missed Field Goal in Canadian Football, Keith A. Willoughby
15. Statistics and the College Football Championship, Hal S. Stern
Cricket
Cricket Introduction, Paul van Staden
16. A Fair Result in Foul Weather, Frank Duckworth
17. Rating Teams and Analysing Outcomes in One-Day and Test Cricket, P. E. Allsopp and Stephen R. Clarke
18. Rain Rules for Limited Overs Cricket and Probabilities of Victory, Ian Preston and Jonathan Thomas
19. Batting Strategy in Limited Overs Cricket, Ian Preston and Jonathan Thomas
Golf
Soccer Introduction, Phil Scarf
20. Is the USGA Golf Handicap System Equitable?, Lawrence L. Kupper, Leonard B. Hearne, Sandra L. Martin, and Jeffrey M. Griffin
21. A Game of Which I am Not Familiar, Scott M. Berry
22. Equitable Handicapping in Golf, Derek R. Bingham and Tim B. Swartz
23. Exploratory Analysis of European Professional Golf Association Statistics, Robert Ketzscher and Trevor J. Ringrose
Soccer
24. An Improved Award System for Soccer, Eduardo Fernandez-Cantelli and Glen Meeden
25. Balance in Competition in Dutch Soccer, Ruud H. Koning
26. Dynamic Modelling and Prediction of English Football League Matches for Betting, Martin Crowder, Mark Dixon, Anthony Ledford, and Mike Robinson
27. An Evaluation of Characteristics of Teams in Association Football by Using a Markov Process Model, Nobuyoshi Hirotsu and Mike Wright
28. Making up the Results: The Work of the Football Pools Panel, David Forrest and Robert Simmons
Other Sports
Other Sports Introduction, Frits Spieksma
29. Coach Markov Pulls Goalie Poisson, Zia Zaman
30. The National Hockey League Entry Draft, 1969-1995, Don Dawson and Lonnie Magee
31. Bowlers' Hot Hands, Reid Dorsey-Palmateer and Gary Smith
32. Did Lennox Lewis beat Evander Holyfield?, Herbert K. H. Lee, Daniel L. Cork, and David J. Algranati
Miscellaneous
Miscellaneous, Tim Swartz
33. Analysis of Sports Data By Using Bivariate Poisson Models, Dimitris Karlis and Loannis Ntzoufras
34. Dynamic Rating of Sports Teams, Leonhard Knorr-Held
35. Inferences about Testosterone Abuse among Athletes, Donald A. Berry and LeeAnn Chastain
36. Investigating the Economic and Demographic Determinants of Sporting Participation in England, Lisa Farrell and Michael A. Shields
37. Using Model/Data Simulations to Detect Streakiness, Jim Albert and Patricia Williamson

Editorial Reviews

"This book would be a useful addition to any library of statistical literature to have at hand for both personal enjoyment and also for supplementing discussions in a classroom setting." — MAA Reviews

From the Publisher