Sports analytics and data science : winning the game with methods and models / Thomas W. Miller.

By: Publication details: Old Tappan : Pearson Education, 2016Description: xiii, 337 pages : illustrations (black and white) ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780133886436 (hardback) :
Subject(s): DDC classification:
  • 23
Summary: This is a complete, practical guide to sports data science and modelling, with examples from sports industry economics, marketing, management, performance measurement, and competitive analysis. Thomas W. Miller, faculty director of Northwestern University's pioneering Predictive Analytics program, shows how to use advanced measures of individual and team performance to judge the competitive position of both individual athletes and teams, and to make more accurate predictions about their future performance. Miller's modelling techniques draw on methods from economics, accounting, finance, classical and Bayesian statistics, machine learning, simulation, and mathematical programming.
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2 week loan Hockney Library Main Floor 796.015/MIL (Browse shelf(Opens below)) Available 7412296473

Formerly CIP. Uk

Includes bibliographical references and index.

This is a complete, practical guide to sports data science and modelling, with examples from sports industry economics, marketing, management, performance measurement, and competitive analysis. Thomas W. Miller, faculty director of Northwestern University's pioneering Predictive Analytics program, shows how to use advanced measures of individual and team performance to judge the competitive position of both individual athletes and teams, and to make more accurate predictions about their future performance. Miller's modelling techniques draw on methods from economics, accounting, finance, classical and Bayesian statistics, machine learning, simulation, and mathematical programming.

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