Oxford Anthology of Statistics in Sports
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B01=James Cochran
B01=Jay Bennett
B01=Jim Albert
Category1=Non-Fiction
Category=NL-PB
Category=NL-WS
Category=PBT
Category=S
COP=United Kingdom
Discount=15%
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_sports-fitness
Format=BC
HMM=246
IMPN=Oxford University Press
ISBN13=9780198724926
Language_English
PA=Available
PD=20170615
POP=Oxford
Price_€20 to €50
PS=Active
PUB=Oxford University Press
SMM=28
SN=Oxford Series on Science in Sports
Subject=Mathematics
Subject=Sports & Outdoor Recreation
WG=1216
WMM=190
Product details
- ISBN 9780198724926
- Weight: 1216g
- Dimensions: 190 x 246 x 28mm
- Publication Date: 06 Jul 2017
- Publisher: Oxford University Press
- Publication City/Country: Oxford, GB
- Product Form: Paperback
- Language: English
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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.
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.
