Economics, Management and Optimization in Sports

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Sergiy Butenko, Jaime Gil-Lafuente, Panos M. Pardalos
Springer Science & Business Media, Jan 8, 2004 - Business & Economics - 300 pages
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Ever since the first Olympic Games in Ancient Greece, sports have become an integral part of human civilization. The last decade has been commemorated by the centennial celebration of the modern Olympic movement. With great anticipation, the Olympics return to Athens, Greece, and we are once again reminded that we live in one of the most exciting periods in the history of sports. Reflecting back on my years of service as the International Olympic Com mittee president, I cannot overlook the remarkable changes that have taken place in the world of sports during these two decades. The technological de velopment and consequent globalization of the world economy opened up a window of new opportunities for the sports industry. As a result, manage ment, economics, and other sciences have become a significant part of modern sports. It is my pleasure to introduce this volume comprising an interesting collec tion of papers dealing with various aspects of management, economics and optimization applied to sports. May this book serve as a valuable source of information to researchers and practitioners as well as to casual readers look ing for a deeper insight into the magnificent world of sports.
 

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Contents

Matrixbased Methods for College Football Rankings
1
Whos the Best? Data Envelopment Analysis and Ranking Players in the National Football League
15
Dynamic Programming and Time Related Strategies in Sports
31
Using Statistics to Predict Scores in English Premier League Soccer
43
Modelling and Forecasting Match Results in the English Premier League and Football League
59
A LocationAllocation Solution
79
The Best Systems for Appointing Referees
101
Fashion Accessory Social Identity or Tribal Uniform?
121
Market Inefficiencies in Player Head to Head Betting on the 2003 Cricket World Cup
185
Searching for Patterns in Sports Contests
203
Promises and Fallacies
225
Using Response Surface Models for Evolutionary Estimation of Optimum Running Times
235
Solving Sports Scheduling and Timetabling Problems with Constraint Programming
243
Collaboration Networks in Sports
265
The Holdup System for Grouping Minor Hockey Participants Into Age Divisions
279
Promotion and Relegation in Rent Seeking Contests
289

Modeling a Baseball Game to Optimize Pitcher Substitution Strategies Using Dynamic Programming
131
Mega Deal? A Relative Performance Analysis for Major League Baseball Players
163

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