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  • Search: isPartOf:"Journal of Quantitative Analysis in Sports"
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baseball 16 football 9 soccer 7 basketball 6 college football 5 golf 5 performance 5 competitive balance 4 game theory 4 probability 4 ratings 4 sports statistics 4 statistics 4 NFL 3 cluster analysis 3 home advantage 3 passing 3 ranking 3 simulation 3 strategy 3 volleyball 3 ANOVA 2 BCS 2 Bayesian hierarchical model 2 Gibbs sampler 2 Hall of Fame 2 MCMC 2 Markov chain 2 Monte Carlo 2 NCAA basketball 2 bias 2 formation 2 game-long process 2 hockey 2 modeling 2 multiple regression 2 offensive baseball performance 2 paired comparison 2 prediction 2 quantitative reasoning 2
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Undetermined 447
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Article 447
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Undetermined 446 English 1
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Jensen Shane T. 6 James, Piette 5 Alamar, Benjamin 4 Annis David H. 4 Annis, David 4 Jim, Albert 4 Joel, Oberstone 4 Nobuyoshi, Hirotsu 4 Ray, Stefani 4 W, Fellingham Gilbert 4 A, Yates Philip 3 Alexander, Braunstein 3 Ann, Kovalchik Stephanie 3 B, Jones Marshall 3 Brian, Macdonald 3 C, Alamar Benjamin 3 C, Thomas Andrew 3 Costa, Constantinou Anthony 3 D, Noubary Reza 3 Drew, Pasteur R. 3 Elliott, Fenton Norman 3 Fellingham Gilbert W. 3 Fellingham, Gilbert 3 J, Bracewell Paul 3 Rendleman Richard J. 3 Swartz Tim B. 3 Vittorio, Addona 3 West, Brady 3 Andreas, Groll 2 Andrew, Hoegh 2 Anthony, Bedford 2 Anthony, Kay 2 B, Swartz Tim 2 Baumer, Ben 2 Benjamin, Alamar 2 Bracewell, Paul 2 Brad, Null 2 Brian, Skinner 2 Cheng Edward K. 2 Connolly Robert A. 2
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Journal of Quantitative Analysis in Sports 447
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RePEc 447
Showing 141 - 150 of 447
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Going for the Green: A Simulation Study of Qualifying Success Probabilities in Professional Golf
Connolly Robert A.; Rendleman Richard J. - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-50
Each year, over 1,300 golfers attempt to qualify for the PGA TOUR through Q-School. Using simulation, we estimate the probabilities that Q-School correctly identifies high-skill golfers. We show that players with skill equivalent to the very best on the PGA TOUR would have high probabilities of...
Persistent link: https://www.econbiz.de/10009365883
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Using Local Correlation to Explain Success in Baseball
Jeff, Hamrick; John, Rasp - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-29
Statisticians have long employed linear regression models in a variety of circumstances, including the analysis of sports data, because of their flexibility, ease of interpretation, and computational tractability. However, advances in computing technology have made it possible to develop and...
Persistent link: https://www.econbiz.de/10009365884
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The Penalty Shot/Optional Minor Choice in Ice Hockey
Rigdon Steven E. - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-19
Under the rules of NCAA Hockey and USA hockey, when a penalty shot is awarded, the nonoffending team has the choice of taking the penalty shot or having a minor penalty assessed to the offending team. Since the chance of scoring on a penalty shot normally exceeds the chance of scoring during the...
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The Methodology of Officially Recognized International Sports Rating Systems
Ray, Stefani - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-22
A comprehensive comparative survey is presented, covering official rating systems as published by internationally recognized sports federations. Mind sports and physical sports are both included. As of November 2010, competitions in 159 international sports are organized by sports federations...
Persistent link: https://www.econbiz.de/10009365886
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Using Tree Ensembles to Analyze National Baseball Hall of Fame Voting Patterns: An Application to Discrimination in BBWAA Voting
Mills Brian M.; Steven, Salaga - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-32
We predict the induction of Major League Baseball hitters and pitchers into the National Baseball Hall of Fame by the Baseball Writers Association of America. We employ a Random Forest algorithm for binary classification, improving upon past models with a simplistic input approach. Our results...
Persistent link: https://www.econbiz.de/10009365887
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The Next Step
Alamar Benjamin C. - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-4
I started the Journal of Quantitative Sports eight years ago with the hope that it would become an outlet for academics looking to develop a research program in sports statistics. At the time, the field of sports statistics was clearly in its infancy. There were no venues for academics looking...
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Rule of Tangent for Win-By-Two Games
Noubary Reza D.; Drue, Coles - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-18
Our study of win-by-two tie games is motivated by a famous 2010 Wimbledon tennis match whose final set was decided by the improbable score of 70-68. We introduce a trigonometric interpretation of the odds of winning points and games in tennis when serving from deuce. We place this result in the...
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Exploring Competition Performance in Decathlon Using Semi-Parametric Latent Variable Models
Valentin, Wimmer; Nora, Fenske; Patricia, Pyrka; … - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-21
In this paper, we explore competition performance in decathlon based on competition, training and personal data. Our data set comprises 3103 competition results from the decathlon world's best performance lists from 1998 to 2009. The aim of our analysis is to estimate latent factors describing...
Persistent link: https://www.econbiz.de/10009365890
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An Estimate of How Hitting, Pitching, Fielding, and Basestealing Impact Team Winning Percentages in Baseball
Charles, Pavitt - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-20
Past research attempting estimates of the relative impact of hitting, pitching, fielding, and basestealing on team winning percentage in baseball has been marked by a number of problems, mostly in terms of poor choice of performance measures. The current analysis attempts to perform this task...
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A Hierarchical Bayesian Variable Selection Approach to Major League Baseball Hitting Metrics
McShane Blakeley B.; Alexander, Braunstein; James, Piette; … - In: Journal of Quantitative Analysis in Sports 7 (2011) 4, pp. 1-26
Numerous statistics have been proposed to measure offensive ability in Major League Baseball. While some of these measures may offer moderate predictive power in certain situations, it is unclear which simple offensive metrics are the most reliable or consistent. We address this issue by using a...
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