Ranking College Football Teams: A Neural Network Approach
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DOI: 10.1287/inte.25.4.44
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Cited by:
- Koning, Ruud H. & Koolhaas, Michael & Renes, Gusta & Ridder, Geert, 2003.
"A simulation model for football championships,"
European Journal of Operational Research, Elsevier, vol. 148(2), pages 268-276, July.
- Koning, Ruud H. & Koolhaas, Michael & Renes, Gusta, 2001. "A simulation model for football championships," Research Report 01A65, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Young William A & Holland William S & Weckman Gary R, 2008. "Determining Hall of Fame Status for Major League Baseball Using an Artificial Neural Network," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(4), pages 1-46, October.
- repec:dgr:rugsom:01a65 is not listed on IDEAS
- Lebovic, James H. & Sigelman, Lee, 2001. "The forecasting accuracy and determinants of football rankings," International Journal of Forecasting, Elsevier, vol. 17(1), pages 105-120.
- C. Richard Cassady & Lisa M. Maillart & Sinan Salman, 2005. "Ranking Sports Teams: A Customizable Quadratic Assignment Approach," Interfaces, INFORMS, vol. 35(6), pages 497-510, December.
- Joseph Martinich, 2002. "College Football Rankings: Do the Computers Know Best?," Interfaces, INFORMS, vol. 32(5), pages 85-94, October.
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Keywords
recreation/sports; networks/graphs: applications;Statistics
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