Description
New to the third edition is a chapter on applying mathematical and statistical methods to the analysis of daily fantasy sports
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
Discusses several more advanced methods, including logistic regression models, random forests, regression models with random effects, spline methods, principal components analysis, multidimensional scaling, quantile regression, and more
Illustrates the methods using real data drawn from a wide variety of sports
Offers many of the data sets on the author＊s website, enabling you to replicate the analyses or conduct related analyses
R code is included for all calculations
Exercises are given for each chapter, to enable use for courses and self-study
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