This book provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. 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.
This book provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. 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.
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.
Inhaltsangabe
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
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
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