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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 291 - 300 of 447
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The X-Factor and Its Relationship to Golfing Performance
H, Cole Michael; N, Grimshaw Paul - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 1-21
It is often postulated that an increased hip to shoulder differential angle (`X-Factor') during the early downswing better utilises the stretch-shorten cycle and improves golf performance. The current study aims to examine the potential relationship between the X-Factor and performance during...
Persistent link: https://www.econbiz.de/10008512265
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Offense-Defense Approach to Ranking Team Sports
Y, Govan Anjela; N, Langville Amy; D, Meyer Carl - In: Journal of Quantitative Analysis in Sports 5 (2009) 1, pp. 1-19
The rank of an object is its relative importance to the other objects in the set. Often a rank is an integer assigned from the set 1,...,n. A ranking model is a method of determining a way in which the ranks are assigned. Usually a ranking model uses information available on the objects to...
Persistent link: https://www.econbiz.de/10008512268
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A New Handicapping System for Golf
B, Swartz Tim - In: Journal of Quantitative Analysis in Sports 5 (2009) 2, pp. 1-22
The official handicapping system of the Royal Canadian Golf Association (RCGA) is very similar to the handicapping system of the United States Golf Association (USGA). Although these handicapping systems are complex and have been carefully studied, the systems do not take statistical theory into...
Persistent link: https://www.econbiz.de/10008512270
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A Simple and Flexible Rating Method for Predicting Success in the NCAA Basketball Tournament: Updated Results from 2007
West, Brady - In: Journal of Quantitative Analysis in Sports 4 (2008) 2, pp. 8-8
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/10005459190
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The Curse of Scoreless Draws in Soccer: The Relationship with a Team's Offensive, Defensive, and Overall Performance
Calster, Ben Van; Smits, Tim; Huffel, Sabine Van - In: Journal of Quantitative Analysis in Sports 4 (2008) 1, pp. 4-4
In soccer, a scoreless draw is typically considered as an unwanted result that often jeopardizes the spectacle value of the game. In the present work, we tried to investigate a) how common scoreless draws are, and b) the relationship between scoreless draws and other indices of a football team's...
Persistent link: https://www.econbiz.de/10005459192
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Estimated Age Effects in Baseball
Fair, Ray - In: Journal of Quantitative Analysis in Sports 4 (2008) 1, pp. 1-1
Age effects in baseball are estimated in this paper using a nonlinear fixed-effects regression. The sample consists of all players who have played 10 or more "full-time" years in the major leagues between 1921 and 2004. Quadratic improvement is assumed up to a peak-performance age, which is...
Persistent link: https://www.econbiz.de/10005459197
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Slugging Percentage in Differing Baseball Counts
Hopkins, Tharemy; Magel, Rhonda - In: Journal of Quantitative Analysis in Sports 4 (2008) 4, pp. 2-2
The objective of this research is to compare average slugging percentages between each of the various types of counts in baseball. Data is collected from 1260 MLB games played between March 20, 2008 and April 20, 2008. It is found that the average slugging percentage is significantly lower in...
Persistent link: https://www.econbiz.de/10005459198
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Univariate and Multivariate Autoregressive Time Series Models of Offensive Baseball Performance: 1901-2005
Kaplan, David - In: Journal of Quantitative Analysis in Sports 4 (2008) 3, pp. 6-6
This paper sets out to estimate univariate time series models on a selected set of offensive baseball measures from 1901 to 2005. The measures include homeruns, bases on balls, runs batted in, doubles, and stolen bases. The paper next estimates the trends in these statistics simultaneously using...
Persistent link: https://www.econbiz.de/10005459199
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The Role of Rest in the NBA Home-Court Advantage
Entine, Oliver; Small, Dylan - In: Journal of Quantitative Analysis in Sports 4 (2008) 2, pp. 6-6
To date, the factors which lead to the very large home court advantage characteristic of the NBA have not yet been well isolated. This study analyzes the relationship between that home court advantage and the comparatively fewer days of rest between games that the NBA schedule imposes on...
Persistent link: https://www.econbiz.de/10005459200
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Data Clustering for Fitting Parameters of a Markov Chain Model of Multi-Game Playoff Series
Rump, Christopher - In: Journal of Quantitative Analysis in Sports 4 (2008) 1, pp. 2-2
We propose a Markov chain model of a best-of-7 game playoff series that involves game-to-game dependence on the current status of the series. To create a relatively parsimonious model, we seek to group transition probabilities of the Markov chain into clusters of similar game-winning frequency....
Persistent link: https://www.econbiz.de/10005585163
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