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Sports Analytics and Data Science: Winning the Game with Methods and Models
book

Sports Analytics and Data Science: Winning the Game with Methods and Models

by Thomas W. Miller
November 2015
Beginner to intermediate content levelBeginner to intermediate
352 pages
10h 3m
English
Pearson
Content preview from Sports Analytics and Data Science: Winning the Game with Methods and Models

Bibliography

Abrams, R. I. 2010. The Money Pitch: Baseball Free Agency and Salary Arbitration. Philadelphia: Temple University Press.

Adler, J. 2006. Baseball Hacks: Tips & Tools for Analyzing and Winning with Statistics. Sebastopol, Calif.: O’Reilly.

Agresti, A. 2013. Categorical Data Analysis (third ed.). New York: Wiley.

Akaike, H. 1973. Information theory and an extension of the maximum likelihood principle. In B. N. Petrov and F. Csaki (eds.), Second International Symposium on Information Theory, pp. 267–281. Budapest: Akademiai Kiado. 214

Alamar, B. C. 2013. Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers. New York: Columbia University Press.

Albert, J. 2009. Bayesian Computation with R. New York: Springer. 34, ...

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Publisher Resources

ISBN: 9780133887402Purchase book