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El. knyga: Handbook of Statistical Methods and Analyses in Sports

Edited by (Dept of Statistics, Harvard University, Cambridge, MA USA), Edited by (Simon Fraser University, Burnaby, Canada), Edited by (University of Groningen, Netherlands), Edited by (Bowling Green State University, Ohio, USA)

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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.

Recenzijos

"The Handbook of Statistical Methods and Analysis in Sports is a phenomenal reference text capturing some of the best work of more than 40 statisticians active in the intersection of statistical methodology and sports data. It consists of 24 largely independent chapters each written by different authors, and outlines advances in statistical methodology applied to baseball, American football, basketball, ice hockey, football (soccer), golf, and cricket. The brilliant design of the texts structure provides readers with a broad survey of the statistics-in-sports research landscape; it could reasonably be implemented in statistics curricula in a variety of formats and at different levels. ~Joe Nolan, Journal of the American Statistical Association "The Handbook of Statistical Methods and Analysis in Sports is a phenomenal reference text capturing some of the best work of more than 40 statisticians active in the intersection of statistical methodology and sports data. It consists of 24 largely independent chapters each written by different authors, and outlines advances in statistical methodology applied to baseball, American football, basketball, ice hockey, football (soccer), golf, and cricket. The brilliant design of the texts structure provides readers with a broad survey of the statistics-in-sports research landscape; it could reasonably be implemented in statistics curricula in a variety of formats and at different levels. ~Joe Nolan, Journal of the American Statistical Association

Preface ix
Contributors xiii
1 Evaluation of Batters and Base Runners
1(38)
Benjamin S. Baumer
Pamela Badian-Pessot
2 Using Publicly Available Baseball Data to Measure and Evaluate Pitching Performance
39(28)
Carson Sievert
Brian M. Mills
3 Defensive Evaluation
67(22)
Mitchel Lichtman
4 Situational Statistics, Clutch Hitting, and Streakiness
89(24)
Jim Albert
5 Estimating Team Strength in the NFL
113(24)
Mark E. Glickman
Hal S. Stern
6 Forecasting the Performance of College Prospects Selected in the National Football League Draft
137(28)
Julian Wolfson
Vittorio Addona
Robert Schmicker
7 Evaluation of Quarterbacks and Kickers
165(18)
R. Drew Pasteur
John A. David
8 Situational Success: Evaluating Decision-Making in Football
183(16)
Keith Goldner
9 Probability Models for Streak Shooting
199(16)
James Lackritz
10 Possession-Based Player Performance Analysis in Basketball (Adjusted +/- and Related Concepts)
215(14)
Jeremias Engelmann
11 Optimal Strategy in Basketball
229(16)
Brian Skinner
Matthew Goldman
12 Studying Basketball through the Lens of Player Tracking Data
245(26)
Luke Bornn
Daniel Cervone
Alexander Franks
Andrew Miller
13 Poisson/Exponential Models for Scoring in Ice Hockey
271(16)
Andrew C. Thomas
14 Hockey Player Performance via Regularized Logistic Regression
287(20)
Robert B. Gramacy
Matt Taddy
Sen Tian
15 Statistical Evaluation of Ice Hockey Goaltending
307(20)
Michael E. Schuckers
16 Educated Guesswork: Drafting in the National Hockey League
327(14)
Peter M. Tingling
17 Models for Outcomes of Soccer Matches
341(14)
Phil Scarf
Jose Sellitti Rangel Jr.
18 Rating of Team Abilities in Soccer
355(18)
Ruud H. Koning
19 Player Ratings in Soccer
373(12)
Ian G. McHale
Samuel D. Relton
20 Effectiveness of In-Season Coach Dismissal
385(16)
Lucas M. Besters
Jan C. van Ours
Martin A. van Tuijl
21 Referee Bias in Football
401(24)
Babatunde Buraimo
Dirk Semmelroth
Rob Simmons
22 Golf Analytics: Developments in Performance Measurement and Handicapping
425(20)
Mark Broadie
William J. Hurley
23 Research Directions in Cricket
445(16)
Tim B. Swartz
24 Performance Development at the Olympic Games
461(24)
Elmer Sterken
Index 485
Jim Albert is Professor of Mathematics and Statistics at Bowling Green State University; Mark E. Glickman is Senior Lecturer on Statistics at Harvard University; Ruud H. Koning is Professor of Sports Economics at the University of Groningen; and Tim Swartz is Professor of Statistics and Actuarial Science at Simon Fraser University.