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Improving Your NCAA (R) Bracket with Statistics, Paperback / softback Book

Improving Your NCAA (R) Bracket with Statistics Paperback / softback

Part of the ASA-CRC Series on Statistical Reasoning in Science and Society series

Description

Twenty-four million people wager nearly $3 billion on college basketball pools each year, but few are aware that winning strategies have been developed by researchers at Harvard, Yale, and other universities over the past two decades.

Bad advice from media sources and even our own psychological inclinations are often a bigger obstacle to winning than our pool opponents.

Profit opportunities are missed and most brackets submitted to pools don't have a breakeven chance to win money before the tournament begins. Improving Your NCAA (R) Bracket with Statistics is both an easy-to-use tip sheet to improve your winning odds and an intellectual history of how statistical reasoning has been applied to the bracket pool using standard and innovative methods.

It covers bracket improvement methods ranging from those that require only the information in the seeded bracket to sophisticated estimation techniques available via online simulations.

Included are: Prominently displayed bracket improvement tips based on the published researchA history of the origins of the bracket poolA history of bracket improvement methods and their results in playHistorical sketches and background information on the mathematical and statistical methods that have been used in bracket analysisA source list of good bracket pool advice available each year that seeks to be comprehensiveWarnings about common bad advice that will hurt your chancesTom Adams' work presenting bracket improvement methods has been featured in the New York Times, Sports Illustrated, and SmartMoney magazine.

Information

  • Format: Paperback / softback
  • Pages: 183 pages, 27 Line drawings, black and white; 8 Halftones, black and white; 12 Tables, black and whi
  • Publisher: Taylor & Francis Ltd
  • Publication Date:
  • Category: Probability & statistics
  • ISBN: 9781138597747

Other Formats

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