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Cited by

 

1. Min, B.,  Choe, C. and McKay, R. I. (2006) “A compound approach for football result prediction”,

Working Papers, Seoul National University.

http://sc.snu.ac.kr/PAPERS/aj06_FRES_final.pdf

 

2.  Min, B., Kim, J., Choe, C. and McKay, R. I. (2007) “A compound framework for sport prediction: the case of football”,

Working Papers, Seoul National University.

http://sc.snu.ac.kr/PAPERS/bhmin07_KBS.pdf.

 

3. Min, B., Choe, C., Eom, H. and McKay, R. I. (2008) “A compound framework for sports results prediction: a football case study”,

Knowledge-Based Systems, Vol.21, No.7, pp.551-562.

DOI:10.1016/j.knosys.2008.03.016

 

4. Sindik, J. and Vidal, N. (2009) “Uncertainty coefficient as a method for optimization of the competition systems in various sports”,

Sport Science, Vol. 2, No.1, pp.95-100.

http://sposci.com/PDFS/BR0201/SVEE/04%20CL%2015%20JS.pdf

 

5. Buursma, D. (2011) “Predicting sports events from past results: towards effective betting on football matches”,

Conference Paper, presented at 14th Twente Student Conference on IT, 21 January 2011, Twente, Holland.

http://arbre.nl/Refrooster20102011S1.pdf

referaat.cs.utwente.nl/TSConIT/download.php?id=931

 

6. Petrunin, Y.Y. (2011) “Analysis of the football performance: from classical methods to neural network”,

Conference Paper, presented at Electronic Culture: Intellectual Innovative Technologies in the Socio-Cultural Sphere, Russian Interdisciplinary Conference, Moscow State University, 26 October 2011, Russia.

 http://www.ec-ai.ru/elib/15.pdf

 

7. Constantinou, A.C., Fenton, N.E., Neil, M. (2012) “A Bayesian network model for forecasting Association Football match outcomes”,

Working Papers, Queen Mary University, London.

http://constantinou.info/downloads/papers/pi-model11.pdf