Handbook of Statistical Methods and Analyses in Sports

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Basketball Teams
Batted Ball
Category=PBT
Col
Cumulative Distribution Function
Dummy Variable
English Premier League
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Fg
Fg Attempt
Fly Ball
Free Throw
Goal Difference
Home Advantage
NBA
NFL Draft
NFL Game
NHL
Pa
Player Tracking Data
quantitative analysis in sports
Random Effects Models
Referee Bias
Runs Scored
sabermetrics
Score Differential
Shot Clock
sports analytics
sports applications
sports statistics
statistical methods in sports
Team Strength
Win Probability

Product details

  • ISBN 9780367331016
  • Weight: 960g
  • Dimensions: 178 x 254mm
  • Publication Date: 11 Sep 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.