Thomas A. Severini is a Professor of Statistics at Northwestern University. He received a Ph.D. in Statistics from the University of Chicago. He has written several books and published extensively in statistical journals such as Biometrika, the Journal of the American Statistical Association and the Journal of the Royal Statistical Society. He is a fellow of the American Statistical Association.
Tom has been an avid sports fan for over 40 years. His statistical expertise and his sports knowledge are highlighted in his latest book, Analytic Methods in Sports, 2nd Edition.
Recently Released (April 15, 2020)
Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, 2nd Edition
Published by CRC Press/Taylor & Francis Group
--Covers statistical and mathematical methods chosen specifically because of their importance and usefulness in analyzing sports data.
--Designed for readers who love sports and sports statistics and who would like to be able to conduct their own statistical analyses of sports data.
--Examples in the book cover a wide range of sports including baseball, football, basketball, soccer, hockey, golf, tennis, and lacrosse.
--Instructions on using Excel to perform the analyses are provided. This new edition includes R code for all calculations and chapter exercises for course work or self-study.
--Designed for readers who are comfortable with mathematics but who do not necessarily have any previous experience with formal statistical methods.
--Advanced methods presented include binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more.
--Many of the datasets that are used in the book are available here.