Citations (18)
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Read on this site (12)
Muhammad Mohsin & Albrecht Gebhardt. (2024) A stochastic model for NFL games and point spread assessment. Journal of Applied Statistics 51:2, pages 216-229.
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Fan Yin, Guanyu Hu & Weining Shen. (2023) Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach. Journal of Computational and Graphical Statistics 32:1, pages 49-60.
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Dale L. Zimmerman, Nathan D. Zimmerman & Joshua T. Zimmerman. (2021) March Madness “Anomalies”: Are They Real, and If So, Can They Be Explained?. The American Statistician 75:2, pages 207-216.
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J. T. Fry, Andrew Hoegh, Scotland Leman & Matthew Montesano. (2018) A Bayesian hierarchical model for estimating the cost of postponing the cyclo-cross national championships. Journal of Applied Statistics 45:2, pages 298-305.
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Jarad B. Niemi, Bradley P. Carlin & Jonathan M. Alexander. (2008) Contrarian Strategies for NCAA Tournament Pools: A Cure for March Madness?. CHANCE 21:1, pages 35-42.
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StevenB. Caudill & NormanH. Godwin. (2002) Heterogeneous skewness in binary choice models: Predicting outcomes in the men's NCAA basketball tournament. Journal of Applied Statistics 29:7, pages 991-1001.
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ParamjitS. Gill. (2000) Late-Game Reversals in Professional Basketball, Football, and Hockey. The American Statistician 54:2, pages 94-99.
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BradleyP. Carlin & HalS. Stern. (1999) Designing a College Football Playoff System. CHANCE 12:3, pages 21-26.
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Tyler Smith & NeilC. Schwertman. (1999) Can the NCAA Basketball Tournament Seeding be Used to Predict Margin of Victory?. The American Statistician 53:2, pages 94-98.
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HalS. Stern$suffix/text()$suffix/text() & Barbara Mock. (1998) A Statistician Reads the Sports Pages. CHANCE 11:1, pages 26-31.
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DavidJ. Breiter & BradleyP. Carlin. (1997) How to Play Office Pools If You Must. CHANCE 10:1, pages 5-11.
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Articles from other publishers (6)
Michael J. Lopez, Gregory J. Matthews & Benjamin S. Baumer. (2018) How often does the best team win? A unified approach to understanding randomness in North American sport. The Annals of Applied Statistics 12:4.
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Manuel Stein, Halldór Janetzko, Daniel Seebacher, Alexander Jäger, Manuel Nagel, Jürgen Hölsch, Sven Kosub, Tobias Schreck, Daniel Keim & Michael Grossniklaus. (2017) How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects. Data 2:1, pages 2.
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Nicholas G. Hall & Chris N. Potts. (2012) A Proposal for Redesign of the FedEx Cup Playoff Series on the PGA TOUR. Interfaces 42:2, pages 166-179.
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B. Jay Coleman, J. Michael DuMond & Allen K. Lynch. (2010) Evidence of bias in NCAA tournament selection and seeding. Managerial and Decision Economics 31:7, pages 431-452.
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H.O. Stekler, David Sendor & Richard Verlander. (2010) Issues in sports forecasting. International Journal of Forecasting 26:3, pages 606-621.
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Jay Coleman & Allen K Lynch. (2009) NCAA Tournament Games: The Real Nitty-Gritty. Journal of Quantitative Analysis in Sports 5:3.
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