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Applications of statistical methods to American football
Authors:Raymond T. Stefani
Affiliation:Professor of Electrical Engineering , California State University , Long Beach , California
Abstract:
The rules of American football favor the strategic placement of the 11 players per team making the identification of statistical tendencies a particularly useful capability. Gambling on American football games is explained. Several automated prediction techniques are discussed and compared, including least squares, weighted least squares, James-Stein, and Harville. A more data-intensive approach is discussed. That approach has coaching implications as well as predictive ability.
Keywords:
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