An easily implemented and accurate model for predicting NCAA tournament at-large bids
Author:
Affiliation:
1. University of North Florida, 1 UNF Drive, Jacksonville, FL, USA
2. Economists Incorporated, Metropolitan Boulevard, Tallahassee, FL, USA
3. Mercer University, Coleman Avenue Macon, Georgia
Publisher
IOS Press
Reference17 articles.
1. An improved LRMC method for NCAA basketball prediction;Brown;Journal of Quantitative Analysis in Sports,2010
2. Evidence of bias in NCAA tournament selection and seeding;Coleman;Managerial and Decision Economics,2010
3. Identifying the NCAA tournament ‘dance card’;Coleman;Interfaces,2001
4. Coleman B. J. , & Lynch A. K. , 2009. NCAA tournament games: The real nitty-gritty. Journal of Quantitative Analysis in Sports. 5(3). doi: 10.2202/1559-0410.1165
5. Improved NCAA basketball tournament modeling via point spread and team strength;Carlin;The American Statistician,1996
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2. College Basketball Rating (CBR): A new body-of-work metric for NCAA tournament selection;Journal of Sports Analytics;2021-04-05
3. Analyzing the impact of the NCAA Selection committee’s new quadrant system;Journal of Sports Analytics;2019-12-04
4. Policy capturing in small-group decision making: Using linear programming to assign factor weights for the NCAA Selection Committee's ranking decisions in the 2016 through 2018 men's basketball tournaments;Managerial and Decision Economics;2018-10-31
5. Using Mathematical Programming to Select and Seed Teams for the NCAA Tournament;Interfaces;2018-06
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