The Wages of Wins - Taking Measure of the Many Myths in Modern Sport. Updated Edition (Paperback, Updated Ed)

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0;When I read the book, I was impressed by the amount of effort that went into compiling the reams of data that underlie the work0;The fundamental case the authors make is that the statistical analysis shows that the conventional wisdom about sports is dead wrong2;that the data as the put it, 0;offers many surprises.1;2;Joe Nocera, The New York Times
0;In The Wages of Wins, the authors attempt to puncture some popular myths2;saying that payroll and wins are not highly correlated, and that in baseball, football0;.attendance hasn7;t been significantly affected by players strikes or owner lockouts.1;2;Sue Kirchhoff, USA Today
0;In The Wages of Wins, the economists David J. Berri, Martin B. Schmidt, and Stacey L. Brook set out to solve the Iverson problem. Weighing the relative value of fouls, rebounds, shots taken, turnovers, and the like, they7;ve created an algorithm that, they argue, comes closer than any previous statistical measure to capturing the true value of a basketball player. 0;Looking at the findings that Berri, Schmidt, and Brook present is enough to make one wonder what exactly basketball experts2;coaches, managers, sportswriters2;know about basketball.1;2;Malcolm Gladwell, The New Yorker

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0;When I read the book, I was impressed by the amount of effort that went into compiling the reams of data that underlie the work0;The fundamental case the authors make is that the statistical analysis shows that the conventional wisdom about sports is dead wrong2;that the data as the put it, 0;offers many surprises.1;2;Joe Nocera, The New York Times
0;In The Wages of Wins, the authors attempt to puncture some popular myths2;saying that payroll and wins are not highly correlated, and that in baseball, football0;.attendance hasn7;t been significantly affected by players strikes or owner lockouts.1;2;Sue Kirchhoff, USA Today
0;In The Wages of Wins, the economists David J. Berri, Martin B. Schmidt, and Stacey L. Brook set out to solve the Iverson problem. Weighing the relative value of fouls, rebounds, shots taken, turnovers, and the like, they7;ve created an algorithm that, they argue, comes closer than any previous statistical measure to capturing the true value of a basketball player. 0;Looking at the findings that Berri, Schmidt, and Brook present is enough to make one wonder what exactly basketball experts2;coaches, managers, sportswriters2;know about basketball.1;2;Malcolm Gladwell, The New Yorker

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Product Details

General

Imprint

Stanford University Press

Country of origin

United States

Release date

September 2007

Availability

Expected to ship within 10 - 15 working days

First published

2006

Authors

, ,

Dimensions

229 x 152 x 21mm (L x W x T)

Format

Paperback - Trade / Trade

Pages

312

Edition

Updated Ed

ISBN-13

978-0-8047-5844-4

Barcode

9780804758444

Categories

LSN

0-8047-5844-1



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