Robert Kissell, James Poserina

Optimal Sports Math, Statistics, and Fantasy (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Optimal Sports Math, Statistics, and Fantasy provides the sports community-students, professionals, and casual sports fans-with the essential mathematics and statistics required to objectively analyze sports teams, evaluate player performance, and predict game outcomes. These techniques can also be applied to fantasy sports competitions.

Readers will learn how to:

• Accurately rank sports teams
• Compute winning probability
• Calculate expected victory margin
• Determine the set of factors that are most predictive of team and player performance

Optimal Sports Math, Statistics, and Fantasy also illustrates modeling techniques that can be used to decode and demystify the mysterious computer ranking schemes that are often employed by post-season tournament selection committees in college and professional sports. These methods offer readers a verifiable and unbiased approach to evaluate and rank teams, and the proper statistical procedures to test and evaluate the accuracy of different models.

Optimal Sports Math, Statistics, and Fantasy delivers a proven best-in-class quantitative modeling framework with numerous applications throughout the sports world.

• Statistical approaches to predict winning team, probabilities, and victory margin
• Procedures to evaluate the accuracy of different models
• Detailed analysis of how mathematics and statistics are used in a variety of different sports
• Advanced mathematical applications that can be applied to fantasy sports, player evaluation, salary negotiation, team selection, and Hall of Fame determination

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 352
• Erscheinungstermin: 6. April 2017
• Englisch
• ISBN-13: 9780128052938
• Artikelnr.: 48044943

Autorenporträt

Robert Kissell, Ph.D., is President of Kissell Research Group, a global financial and economic consulting firm specializing in quantitative modeling, statistical analysis, and algorithmic trading. He is also a professor at Molloy College in the School of Business and an adjunct professor at the Gabelli School of Business at Fordham University. He has held several senior leadership positions with prominent bulge bracket investment banks including UBS Securities where he was Executive Director of Execution Strategies and Portfolio Analysis, and at JP Morgan where he was Executive Director and Head of Quantitative Trading Strategies. He was previously at Citigroup/Smith Barney where he was Vice President of Quantitative Research, and at Instinet where he was Director of Trading Research. He began his career as an Economic Consultant at R.J. Rudden Associates specializing in energy, pricing, risk, and optimization. Dr. Kissell has written several books and published dozens of journal articles on Algorithmic Trading, Risk, and Finance. He is a coauthor of the CFA Level III reading titled "Trade Strategy and Execution,¿ CFA Institute 2019.¿