Analytic Methods in Sports

Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports

One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. Les mer
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Paperback
Legg i
Vår pris: 715,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 7 virkedager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

Om boka

One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports.





The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter.





Features








Covers numerous statistical procedures for analyzing data based on sports results







Presents fundamental methods for describing and summarizing data







Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data







Explains the statistical reasoning underlying the methods







Illustrates the methods using real data drawn from a wide variety of sports







Offers many of the datasets on the author's website, enabling you to replicate the analyses or conduct related analyses








New to the Second Edition








R code included for all calculations







A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more







Exercises added to the end of each chapter, to enable use for courses and self-study

Full solutions manual available to course instructors.

Fakta

Innholdsfortegnelse

1 Introduction
2 Describing and Summarizing Sports Data
3 Probability
4 Statistical Methods
5 Using Correlation to Detect Statistical Relationships
6 Modeling Relationships Using Linear Regression
7 Regression Models with Several Predictor Variables
8 Some Advanced Methods

Om forfatteren

Thomas A. Severini is currently professor of statistics at Northwestern University. His research areas include likelihood inference, nonparametric and semiparametric methods, and applications to econometrics. He is also the author of Likelihood Methods in Statistics, Elements of Distribution Theory, and Introduction to Statistical Methods for Financial Models. He received his PhD in statistics from the University of Chicago. He is a fellow of the American Statistical Association.