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Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough
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Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions Paperback - 2012

by Gabriel B. Costa; Michael R. Huber; John T. Saccoman


From the publisher

Sabermetrics, the specialized analysis of baseball through empirical evidence, provides an impartial perspective from which to explore the game. In this work, the third in a series, three mathematicians employ statistical science in an attempt to answer some of baseball's toughest questions. For instance, how good were the 1961 New York Yankees? How bad were the 1962 Mets? Which team was the best of the Deadball Era? They also strive to determine baseball's greatest player at various positions. Throughout, the objective evidence allows for debate devoid of emotion and personal biases, providing a fresh, balanced evaluation of these and many other challenging questions.

Instructors considering this book for use in a course may request an examination copy here.

Details

  • Title Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions
  • Author Gabriel B. Costa; Michael R. Huber; John T. Saccoman
  • Binding Paperback
  • Pages 222
  • Volumes 1
  • Language ENG
  • Publisher McFarland and Company, Inc.
  • Date 2012-07-01
  • Features Bibliography, Index, Table of Contents
  • ISBN 9780786460717 / 0786460717
  • Weight 0.65 lbs (0.29 kg)
  • Dimensions 8.9 x 5.9 x 0.6 in (22.61 x 14.99 x 1.52 cm)
  • Ages 18 to UP years
  • Grade levels 13 - UP
  • Library of Congress subjects Baseball - Statistical methods, Baseball - Mathematical models
  • Library of Congress Catalog Number 2012025344
  • Dewey Decimal Code 796.357

About the author

SABR member Gabriel B. Costa is a catholic priest and a professor of mathematical sciences at the United States Military Academy at West Point. Michael R. Huber is a professor of mathematics at Muhlenberg College in Allentown, Pennsylvania. He has been studying sabermetrics for more than 20 years and is a member of the Society for American Baseball Research. John T. Saccoman is a professor in the department of mathematics and computer science at Seton Hall University in South Orange, New Jersey.
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Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions

Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions

by Gabriel B. Costa

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Paperback / softback. New. Sabermetrics, the specialised analysis of baseball through empirical evidence, provides an impartial perspective from which to explore the game. In this work three mathematicians employ statistical science in an attempt to answer some of baseball's toughest questions. Throughout, the objective evidence allows for debate devoid of emotion and personal biases, providing a fresh, balanced evaluation.
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Reasoning With Sabermetrics: Applying Statistical Science to Baseball's Tough Questions
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Reasoning With Sabermetrics: Applying Statistical Science to Baseball's Tough Questions

by Costa, Gabriel B./ Huber, Michael R./ Saccoman, John T.

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Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions
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Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions

by Costa, Gabriel B., Huber, Michael R., Saccoman, John T

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Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions
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Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions

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