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, Michael R. Huber, John T. Saccoman
     
 

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

Overview

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.

Product Details

ISBN-13:
9780786460717
Publisher:
McFarland & Company, Incorporated Publishers
Publication date:
07/31/2012
Pages:
222
Sales rank:
695,170
Product dimensions:
6.00(w) x 9.00(h) x 9.00(d)

Meet the Author

Gabriel B. Costa is professor of mathematical sciences at the United States Military Academy at West Point, where he is also an associate chaplain. Michael R. Huber is the dean of academic life and a professor of mathematics at Muhlenberg College in Allentown, Pennsylvania. John T. Saccoman is a professor and the chairman of the department of mathematics and computer science at Seton Hall University in South Orange, New Jersey.

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