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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 1 - 10 of 447
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Nearest-neighbor matchup effects: accounting for team matchups for predicting March Madness
Andrew, Hoegh; Marcos, Carzolio; Ian, Crandell; Xinran, Hu - In: Journal of Quantitative Analysis in Sports 11 (2015) 1, pp. 29-37
Recently, the surge of predictive analytics competitions has improved sports predictions by fostering data-driven inference and steering clear of human bias. This article details methods developed for Kaggle’s March Machine Learning Mania competition for the 2014 NCAA tournament. A submission...
Persistent link: https://www.econbiz.de/10011200190
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Building an NCAA men’s basketball predictive model and quantifying its success
Lopez Michael J.; Matthews Gregory J. - In: Journal of Quantitative Analysis in Sports 11 (2015) 1, pp. 5-12
Computing and machine learning advancements have led to the creation of many cutting-edge predictive algorithms, some of which have been demonstrated to provide more accurate forecasts than traditional statistical tools. In this manuscript, we provide evidence that the combination of modest...
Persistent link: https://www.econbiz.de/10011200191
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A mixture-of-modelers approach to forecasting NCAA tournament outcomes
Lo-Hua, Yuan; Anthony, Liu; Alec, Yeh; Alex, Franks; … - In: Journal of Quantitative Analysis in Sports 11 (2015) 1, pp. 13-27
Predicting the outcome of a single sporting event is difficult; predicting all of the outcomes for an entire tournament is a monumental challenge. Despite the difficulties, millions of people compete each year to forecast the outcome of the NCAA men’s basketball tournament, which spans 63...
Persistent link: https://www.econbiz.de/10011200192
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A generative model for predicting outcomes in college basketball
Ruiz Francisco J. R.; Fernando, Perez-Cruz - In: Journal of Quantitative Analysis in Sports 11 (2015) 1, pp. 39-52
We show that a classical model for soccer can also provide competitive results in predicting basketball outcomes. We modify the classical model in two ways in order to capture both the specific behavior of each National collegiate athletic association (NCAA) conference and different strategies...
Persistent link: https://www.econbiz.de/10011200193
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A new approach to bracket prediction in the NCAA Men’s Basketball Tournament based on a dual-proportion likelihood
Andrew, Gupta Ajay - In: Journal of Quantitative Analysis in Sports 11 (2015) 1, pp. 53-67
The widespread proliferation of and interest in bracket pools that accompany the National Collegiate Athletic Association Division I Men’s Basketball Tournament have created a need to produce a set of predicted winners for each tournament game by people without expert knowledge of college...
Persistent link: https://www.econbiz.de/10011200194
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Introduction to the NCAA men’s basketball prediction methods issue
Glickman Mark E.; Jeff, Sonas - In: Journal of Quantitative Analysis in Sports 11 (2015) 1, pp. 1-3
Persistent link: https://www.econbiz.de/10011200195
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Predicting the draft and career success of tight ends in the National Football League
Jason, Mulholland; Jensen Shane T. - In: Journal of Quantitative Analysis in Sports 10 (2014) 4, pp. 16-16
National Football League teams have complex drafting strategies based on college and combine performance that are intended to predict success in the NFL. In this paper, we focus on the tight end position, which is seeing growing importance as the NFL moves towards a more passing-oriented league....
Persistent link: https://www.econbiz.de/10011105419
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Scoring rules, and the role of chance: Analysis of the 2008 World Fly Fishing Championships
Yee Thomas W. - In: Journal of Quantitative Analysis in Sports 10 (2014) 4, pp. 13-13
We analyze the 2008 World Fly Fishing Championships data to examine two issues: (I) changes to scoring rules are proposed so that catching bigger fish is no longer a disadvantage; and (II) the relative role of chance versus competitor skill in determining the competition outcomes is investigated....
Persistent link: https://www.econbiz.de/10011105420
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Stochastic model of the 2012 PGA Tour season
Heiny Erik L.; Lowell, Heiny Robert - In: Journal of Quantitative Analysis in Sports 10 (2014) 4, pp. 13-13
An absorbing Markov chain was used to model the 2012 PGA Tour Golf Season. Expected number of steps until absorption was used to establish expected scores for different locations (fairway, primary rough, green, etc.) and distances from the hole. Strokes gained analysis was then performed to...
Persistent link: https://www.econbiz.de/10011105421
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Gasping for air: soccer players’ passing behavior at high-altitude
Jorge, Tovar - In: Journal of Quantitative Analysis in Sports 10 (2014) 4, pp. 10-10
A number of soccer officials have long debated whether to ban soccer games played at high altitude above sea level. This paper explores soccer player’s passing behavior when playing at high elevations using Copa Libertadores data. For this, I propose a range of direct indicators when playing...
Persistent link: https://www.econbiz.de/10011105422
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