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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 251 - 260 of 447
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Defining the Style of Play in the NHL: An Application of Cluster Analysis
Vincent, Claude; Eastman, Byron - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 10-10
The placing of NHL players into categories such as stars, average journeyman forwards, defensive forward, etc., is a popular pastime of fans and professional sports commentators. This is usually done in an ad hoc manner, sometimes contentiously, and without reference to any detailed analysis of...
Persistent link: https://www.econbiz.de/10005246608
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Match Play: Using Statistical Methods to Categorize PGA Tour Players' Careers
Puterman, Martin; Wittman, Stefan - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 11-11
This paper uses K-means cluster analysis and multinomial mixture models to categorize professional golfer performance for the period 1980 to 2006. We collected, cleaned and analyzed final annual money list standings for PGA Tour players from www.pgatour.com. Correlation patterns between other...
Persistent link: https://www.econbiz.de/10005246614
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Predicting NBA Games Using Neural Networks
Loeffelholz, Bernard; Bednar, Earl; Bauer, Kenneth - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 7-7
In this paper we examine the use of neural networks as a tool for predicting the success of basketball teams in the National Basketball Association (NBA). Statistics for 620 NBA games were collected and used to train a variety of neural networks such as feed-forward, radial basis, probabilistic...
Persistent link: https://www.econbiz.de/10005246618
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Importance of Teammate Fit: Frescoball Example
Oliver, Dean; Fienen, Mike - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 1-1
The concept of teammates whose skills `fit' together is explored through frescoball, the beach paddleball game with two people hitting a ball back and forth trying to keep it in the air. This simple game can be analyzed through Markov Chains to obtain the expected number of hits between the two...
Persistent link: https://www.econbiz.de/10005246619
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Estimating the Effect of the Red Card in Soccer: When to Commit an Offense in Exchange for Preventing a Goal Opportunity
Vecer, Jan; Kopriva, Frantisek; Ichiba, Tomoyuki - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 8-8
We study the effect of the red card in a soccer game. A red card is given by a referee to signify that a player has been sent off following serious misconduct. The player who has been sent off must leave the game immediately and cannot be replaced during the game. His team must continue the game...
Persistent link: https://www.econbiz.de/10005246622
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Predicting Baseball Hall of Fame Membership using a Radial Basis Function Network
Lloyd, Smith; James, Downey - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 1-21
This paper describes an objective way of predicting the likelihood of major league baseball players being elected to the Hall of Fame by members of the Baseball Writers Association of America. A radial basis function (RBF) network is used to build separate machine learning models for pitchers...
Persistent link: https://www.econbiz.de/10008557453
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Estimating Quality in Home Advantage and Competitive Balance in the Portuguese Football League
Cardoso, Marques António - In: Journal of Quantitative Analysis in Sports 5 (2009) 3, pp. 1-19
The issue of competitive balance is not normally considered in the study of home advantage. This paper focuses on home advantage, assessing and comparing it between seasons. The strength of the teams is estimated and linked with competitive balance. The results support that, in both the eighties...
Persistent link: https://www.econbiz.de/10008557454
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Coach Succession and Team Performance: The Impact of Ability and Timing -- Swedish Ice Hockey Data
Khalik, Salman; Leif, Arnesson; Ghazi, Shukur - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 1-20
The purpose of this study is to identify a function for the team performance for professional ice hockey teams in Sweden. In order to understand how team performance relates to key variables such as coaching ability and coaching experience and succession, the OLS (Ordinary Least Squares) and the...
Persistent link: https://www.econbiz.de/10008557456
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Using Simulation to Estimate the Impact of Baserunning Ability in Baseball
S, Baumer Ben - In: Journal of Quantitative Analysis in Sports 5 (2009) 2, pp. 1-18
In baseball, an offensive team's run scoring ability is dependent not only upon the batting skills of its players, but also their baserunning abilities. Using a Monte Carlo simulation based on actual statistics of real players, we estimate the magnitude of the effect of baserunning skills upon a...
Persistent link: https://www.econbiz.de/10008557457
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Can Recruiting Rankings Predict the Success of NCAA Division I Football Teams? An Examination of the Relationships among Rivals and Scouts Recruiting Rankings and Jeff Sagarin End-of-Season Ratings in Collegiate Football
J, Herda Trent; D, Ryan Eric; M, DeFreitas Jason; B, … - In: Journal of Quantitative Analysis in Sports 5 (2009) 4, pp. 1-13
The purpose of the present study was to examine the relationships among National Collegiate Athletic Association (NCAA) Division I football teams' 2002 recruiting rankings from the Rivals (RIV) and Scouts (SCO) recruiting services and the Jeff Sagarin end-of-season performance ratings from...
Persistent link: https://www.econbiz.de/10008557465
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