Analyzing dependence matrices to investigate relationships between national football league combine event performances
Author:
Affiliation:
1. Clemson University, Department of Mathematical Sciences , Clemson, SC 29634 , USA , Office: +1 864-656-4571, Fax: +1 864-656-5230
2. Clemson University, Clemson University Football Coaching Staff , Clemson, SC 29634 , USA
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Decision Sciences (miscellaneous),Social Sciences (miscellaneous)
Reference23 articles.
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2. Coles, S. G. 2001. An Introduction to Statistical Modeling of Extreme Values. Springer Series in Statistics. London: Springer-Verlag London Ltd.
3. Coles, S., J. Heffernan, and J. Tawn. 1999. “Dependence Measures for Extreme Value Analysis.” Extremes 2(4):339–365.
4. Davis, R. and T. Mikosch. 2009. “The Extremogram: A Correlogram for Extreme Events.” Bernoulli 15(4):977–1009.
5. Einmahl, J. H. and J. R. Magnus. 2008. “Records in Athletics Through Extreme-Value Theory.” Journal of the American Statistical Association 103(484):1382–1391.
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1. On the predictive validity of the National Football League combine: does it forecast future success?;Journal of Sports Sciences;2023-02
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