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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 301 - 310 of 447
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The Passing Premium Puzzle Revisited
Rockerbie, Duane - In: Journal of Quantitative Analysis in Sports 4 (2008) 2, pp. 9-9
The passing premium puzzle states that NFL teams do not call enough passing plays, despite rule changes since the late 1970's that have increased the expected return to passing. This paper develops a simple portfolio model to determine how a coach could determine an optimal share of running and...
Persistent link: https://www.econbiz.de/10005585168
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Linear Inference for Paired Comparisons
Annis, David; Davis, J. - In: Journal of Quantitative Analysis in Sports 4 (2008) 4, pp. 3-3
In this paper, we propose a team rating system that accounts for differences in strength of schedule by computing an additive correction factor which adjusts team winning percentage. This approach permits teams to be ranked appropriately despite disparate schedules. Our method is easy to compute...
Persistent link: https://www.econbiz.de/10005585169
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Quantifying NFL Coaching: A Proof of New Growth Theory
Braig, Kevin - In: Journal of Quantitative Analysis in Sports 4 (2008) 3, pp. 1-1
New Growth Theory is the science of research, knowledge, and designs. The foundation of New Growth Theory is that technological change, improvement in the instructions for mixing resources, lies at the heart of growth and improvement. Designs are the instructions that turn resources into useful...
Persistent link: https://www.econbiz.de/10005585170
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U-Scores for Multivariate Data in Sports
Wittkowski, Knut; Song, Tingting; Anderson, Kent; … - In: Journal of Quantitative Analysis in Sports 4 (2008) 3, pp. 7-7
In many sport competitions athletes, teams, or countries are evaluated based on several variables. The strong assumptions underlying traditional 'linear weight' scoring systems (that the relative importance, interactions and linearizing transformations of the variables are known) can often not...
Persistent link: https://www.econbiz.de/10005585171
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Isolating the Effect of Individual Linemen on the Passing Game in the National Football League
Alamar, Benjamin; Weinstein-Gould, Jesse - In: Journal of Quantitative Analysis in Sports 4 (2008) 2, pp. 10-10
Protecting the quarterback is an integral part of the passing game in the National Football league, yet the relationship between the abilities of an individual lineman and the effectiveness of a passing game remains unexplored. One of the principal reasons for this lack of study is the absence...
Persistent link: https://www.econbiz.de/10005585173
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Composite Poisson Models for Goal Scoring
Everson, Phil; Goldsmith-Pinkham, Paul - In: Journal of Quantitative Analysis in Sports 4 (2008) 2, pp. 13-13
Goal scoring in sports such as hockey and soccer is often modeled as a Poisson process. We work with a Poisson model where the mean goals scored by the home team is the sum of parameters for the home team's offense, the road team's defense, and a home advantage. The mean goals for the road team...
Persistent link: https://www.econbiz.de/10005585174
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Probability and Statistical Models for Racing
Lo, Victor; Bacon-Shone, John - In: Journal of Quantitative Analysis in Sports 4 (2008) 2, pp. 11-11
Racing data provides a rich source of analysis for quantitative researchers to study multi-entry competitions. This paper first explores statistical modeling to investigate the favorite-longshot betting bias using world-wide horse race data. The result shows that the bias phenomenon is not...
Persistent link: https://www.econbiz.de/10005585177
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Racial Bias in the NBA: Implications in Betting Markets
Larsen, Tim; Price, Joe; Wolfers, Justin - In: Journal of Quantitative Analysis in Sports 4 (2008) 2, pp. 7-7
Recent studies have documented the existence of an own-race bias on the part of sports officials. In this paper we explore the implications of these biases on betting markets. We use data from the 1991/92 - 2004/05 NBA regular seasons to show that a betting strategy exploiting own-race biases by...
Persistent link: https://www.econbiz.de/10005585179
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A New Application of Linear Modeling in the Prediction of College Football Bowl Outcomes and the Development of Team Ratings
West, Brady; Lamsal, Madhur - In: Journal of Quantitative Analysis in Sports 4 (2008) 3, pp. 3-3
This paper begins with a thorough review of previous quantitative literature dedicated to the development of ratings for college and professional football teams, and also considers various methods that have been proposed for predicting the outcomes of future football games. Building on this...
Persistent link: https://www.econbiz.de/10005752624
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Probability Formulas and Statistical Analysis in Tennis
O'Malley, A. James - In: Journal of Quantitative Analysis in Sports 4 (2008) 2, pp. 15-15
In this paper an expression for the probability of winning a game in a tennis match is derived under the assumption that the outcome of each point is identically and independently distributed. Important properties of the formula are evaluated and presented pictorially. The accuracy of this...
Persistent link: https://www.econbiz.de/10005752625
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