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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 81 - 90 of 447
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Comparing Team Selection and Seeding for the 2011 NCAA Men's Basketball Tournament
Gray Kathy L.; Schwertman Neil C. - In: Journal of Quantitative Analysis in Sports 8 (2012) 1, pp. 1-13
The men’s NCAA basketball tournament is a popular sporting event often referred to as “March Madness.” Each year the NCAA committee not only selects but also seeds the tournament teams. Invariably there is much discussion about which teams were included and excluded as well as discussion...
Persistent link: https://www.econbiz.de/10011016222
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Testing the On-Court Efficacy of the NBA's Age Eligibility Rule
Ryan, Rodenberg; Woo, Kim Jun - In: Journal of Quantitative Analysis in Sports 8 (2012) 2, pp. 1-23
The NBA’s age eligibility rule is controversial. To examine the on-court efficacy of the NBA’s age eligibility rule, we test the effect of age of entry on NBA career performance. Our data set comprises the 332 players selected in the first round of the NBA draft from 1989 to 2000. Using...
Persistent link: https://www.econbiz.de/10011016225
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The Dreaded Middle Seeds - Are They the Worst Seeds in the NCAA Basketball Tournament?
Morris Tracy L.; Bokhari Faryal H. - In: Journal of Quantitative Analysis in Sports 8 (2012) 2, pp. 1-13
The following quote from Gregg Doyel in reference to the National Collegiate Athletic Association (NCAA) men’s basketball tournament appeared on CBSSports.com on March 21, 2009. “For teams with a realistic chance at winning multiple games in the NCAA tournament,…the worst seed to have is...
Persistent link: https://www.econbiz.de/10011016229
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Using Conditional Estimates to Simulate In-Play Outcomes in Limited Overs Cricket
RT, Sargent Jonathan; Anthony, Bedford - In: Journal of Quantitative Analysis in Sports 8 (2012) 2, pp. 1-20
This paper uses conditional probability distributions to simulate batsman outcomesâthat is, runs and dismissalsâwhile a limited overs cricket match is in play. The research was motivated by the potential to assess, and reassess, the likelihood of a batsman achieving a certain score within a...
Persistent link: https://www.econbiz.de/10011016233
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Are the "Four Factors" Indicators of One Factor? An Application of Structural Equation Modeling Methodology to NBA Data in Prediction of Winning Percentage
Tarek, Baghal - In: Journal of Quantitative Analysis in Sports 8 (2012) 1, pp. 1-17
Significant work has gone into the development of team and individual statistics in the NBA; for example, the team measures of the “Four Factors.” Less work has been conducted using multivariate analyses of these metrics, including identifying possible new statistical techniques to analyze...
Persistent link: https://www.econbiz.de/10011016235
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Calculating Wins over Replacement Player (WORP) for NHL Goaltenders
Shea Stephen M.; Baker Christopher E. - In: Journal of Quantitative Analysis in Sports 8 (2012) 1, pp. 1-18
We present formulas for calculating wins over replacement player (WORP) for NHL goaltenders. If a team's primary objective is victory over its opponent, then a player's value may best be determined by his ability to help his team win games. Furthermore, a player's contribution to his team's wins...
Persistent link: https://www.econbiz.de/10011016236
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Variations in Home Advantage: Evidence from the National Hockey League
Doyle Joanne M.; Benjamin, Leard - In: Journal of Quantitative Analysis in Sports 8 (2012) 2, pp. 1-27
We study two important aspects of the home advantage for ice hockey. First we study team and season level data to uncover systematic variation in the home advantage across teams and over time. We find no systematic variation in home advantage across teams. Secondly, we use six seasons of...
Persistent link: https://www.econbiz.de/10011016243
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Characterisation of the Main Playing Variables Affecting the Service in High-Level Women's Volleyball
Quiroga Miriam E.; David, Rodriguez-Ruiz; Samuel, Sarmiento - In: Journal of Quantitative Analysis in Sports 8 (2012) 1, pp. 1-13
This study sought to establish the most important factors affecting the service in high-level women’s volleyball and the relative weighting of such factors on this technical part of the sport. A total of 1300 services from eight matches played in two Final Fours of the Indesit European...
Persistent link: https://www.econbiz.de/10011016244
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Searching for Momentum in the NFL
Fry Michael J.; Alan, Shukairy F. - In: Journal of Quantitative Analysis in Sports 8 (2012) 1, pp. 1-20
We examine the question of whether or not momentum exists in an NFL football game. The concept of momentum is often cited by coaches, players, commentators and fans as a major factor in determining the outcome of the game and, consequently, in-game decision making. To examine the existence of...
Persistent link: https://www.econbiz.de/10011016245
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New Insights on the Tendency of NCAA Basketball Officials to Even Out Foul Calls
Noecker Cecilia A.; Paul, Roback - In: Journal of Quantitative Analysis in Sports 8 (2012) 3, pp. 1-23
This analysis revises and strengthens a study by Anderson and Pierce (2009) on referee bias in NCAA basketball. Using a logistic regression model, they determined that referees display a statistically significant tendency to even out the foul count between the two teams—every additional...
Persistent link: https://www.econbiz.de/10011016248
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