113
Views
0
CrossRef citations to date
0
Altmetric
Discussion

Discussion on “The Game Insight Group: A Model for Academic-Industry Partnerships for Sports Statistics Innovation”

References

  • Baker, R. E., and T. Kwartler. 2015. Sports analytics: Using open source logistic regression software to classify upcoming play type in the NFL. Journal of Applied Sport Management 7 (2):43–58.
  • Kovalchik, S. 2016. Searching for the goat of tennis win prediction. Journal of Quantitative Analysis in Sports 12 (3):127–38. doi: 10.1515/jqas-2015-0059
  • Kovalchik, S., and M. Reid. 2018. A calibration method with dynamic updates for within-match forecasting of wins in tennis. International Journal of Forecasting. doi: 10.1016/j.ijforecast.2017.11.008
  • Montgomery, D. C. 2017. Design and analysis of experiments. Hoboken, NJ: Wiley.
  • Morris, C. 1977. The most important points in tennis. Optimal Strategies in Sports 5:131–40.
  • Rodenberg, R. M., and E. D. Feustel. 2014. Forensic sports analytics: Detecting and predicting match-fixing in tennis. Journal of Prediction Markets 8 (1):77–95.
  • Shmerler, C. 2018. Tennis moves toward taking the human element out of line calls. The New York Times. http://www.nytimes.com (accessed April 21, 2018)

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.