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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 371 - 380 of 447
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Modeling Tactical Changes of Formation in Association Football as a Zero-Sum Game
Hirotsu, Nobuyoshi; Wright, Mike - In: Journal of Quantitative Analysis in Sports 2 (2007) 2, pp. 4-4
Although tactical decisions made by managers during a match of team sports are very important, there have been few quantitative analyses which include the effect of interaction between both teams' decisions, because of the complexity of the problem where one team's decision will affect the other...
Persistent link: https://www.econbiz.de/10005585182
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Baseball Errors
Kalist, David; Spurr, Stephen - In: Journal of Quantitative Analysis in Sports 2 (2007) 4, pp. 3-3
This paper examines the factors that determine the rate of errors called in major league baseball, and changes in the error rate over time. We find that (1) the rate of errors depends on the quality of play and characteristics of the field, but that (2) these do not fully explain variations in...
Persistent link: https://www.econbiz.de/10005585183
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Inter-arrival Times of Goals in Ice Hockey
Thomas, Andrew - In: Journal of Quantitative Analysis in Sports 3 (2007) 3, pp. 5-5
Previous studies have attempted to model goal scoring in sports such as ice hockey as simple Poisson processes. Others (Thomas, 2006) have shown that events within the game of ice hockey are better modelled as a Semi-Markov process determined by puck possession and location. I demonstrate that a...
Persistent link: https://www.econbiz.de/10005585184
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Home Advantage in the NBA as a Game-Long Process
Jones, Marshall - In: Journal of Quantitative Analysis in Sports 3 (2007) 4, pp. 2-2
In papers on basketball, it is standard practice to treat the home-court advantage in terms of percentages or point differences at the end of the game. This practice leaves out of account how the advantage develops during the game, when it accumulates most strongly, its course and the in-course...
Persistent link: https://www.econbiz.de/10005585185
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Position Play in Carom Billiards as a Markov Process
Bouville, Mathieu - In: Journal of Quantitative Analysis in Sports 3 (2007) 4, pp. 4-4
Position play is a key feature of carom billiards: on easy shots, players can manage to score while ensuring that the next position will be favorable. The difficulty of a shot therefore depends on the previous shot; e.g., an easy shot generally follows an easy shot. We introduce a Markov process...
Persistent link: https://www.econbiz.de/10005585186
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Determinants of Success in the Olympic Decathlon: Some Statistical Evidence
Kenny, Ian; Sprevak, Dan; Sharp, Craig; Boreham, Colin - In: Journal of Quantitative Analysis in Sports 1 (2007) 1, pp. 5-5
In a recent communication, Van Damme et al (1) presented a statistical analysis of the performance of world-ranked decathletes, and made inferences about the ability of these athletes to respond uniformly to the demands of the ten events in the decathlon. Their argument was based on an...
Persistent link: https://www.econbiz.de/10005585187
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The Passing Premium Puzzle
Alamar, Benjamin - In: Journal of Quantitative Analysis in Sports 2 (2007) 4, pp. 5-5
The passing premium puzzle is the existence of a balance between the number of passing and running plays, even though there is a greater expected return in passing plays. The puzzle is documented using both historical trends of aggregate numbers and play by play data from the 2005 NFL season.
Persistent link: https://www.econbiz.de/10005585188
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Which Ball is the Roundest? - A Suggested Tournament Stability Index
Lundh, Torbjörn - In: Journal of Quantitative Analysis in Sports 2 (2007) 3, pp. 1-1
All sports have components of randomness that cause the "best" individual or team not to win every game. According to many spectators this uncertainty is part of the charm when following a competition or a match. Have different sports more or less of this unpredictability? We suggest here a...
Persistent link: https://www.econbiz.de/10005752626
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Who Controls the Plate? Isolating the Pitcher/Batter Subgame
Alamar, Benjamin; Ma, Jeff; Desjardins, Gabriel; … - In: Journal of Quantitative Analysis in Sports 2 (2007) 3, pp. 4-4
This paper combines an estimated expected run value equation with a probability model on the outcome of batted balls to isolate the game within a game. Using linear regression we were then able to determine the percentage of the outcome of an at bat that is controlled by a pitcher and the...
Persistent link: https://www.econbiz.de/10005752630
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A Simple and Flexible Rating Method for Predicting Success in the NCAA Basketball Tournament
West, Brady - In: Journal of Quantitative Analysis in Sports 2 (2007) 3, pp. 3-3
This paper first presents a brief review of potential rating tools and methods for predicting success in the NCAA basketball tournament, including those methods (such as the Ratings Percentage Index, or RPI) that receive a great deal of weight in selecting and seeding teams for the tournament....
Persistent link: https://www.econbiz.de/10005752634
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