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 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 .

222 pages, Paperback

First published July 31, 2012

Reviews

[Ivan Taylor · Rating 4 out of 5]

This is the third book in the series of sabermetric books by these authors. It is interesting because they uses the sabermetric ideas from the earlier books to answer some interesting questions from Major League Baseball history. Again there are many typos that distract from the quality of the reading experience.