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

Name: Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions
Rating: 5 (1 reviews)

Gabriel B. Costa · Michael R. Huber · John T. Saccoman

2012年8月 · McFarland

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关于此电子书

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.

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作者简介

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.