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

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

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