Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics, 2d ed.

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

ISBN 10: 1476667667 / ISBN 13: 9781476667669

Published by McFarland, 2019

About this Item

Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.

Seller Inventory # OTV.1476667667.VG

Bibliographic Details

• Title: Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics, 2d ed.
• Publisher: McFarland
• Publication Date: 2019
• Language: English
• ISBN 10: 1476667667
• ISBN 13: 9781476667669
• Binding: Soft cover
• Edition: 2nd Edition
• Condition: very_good

About this title

Synopsis

Interest in Sabermetrics has increased dramatically in recent years as the need to better compare baseball players has intensified among managers, agents and fans, and even other players. The authors explain how traditional measures--such as Earned Run Average, Slugging Percentage, and Fielding Percentage--along with new statistics--Wins Above Average, Fielding Independent Pitching, Wins Above Replacement, the Equivalence Coefficient and others--define the value of players.

Actual player statistics are used in developing models, while examples and exercises are provided in each chapter. This book serves as a guide for both beginners and those who wish to be successful in fantasy leagues.

About the Authors

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 retired 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.