Croatian First Football League: Teams' performance in the championship
By: Dušan Munđar and Diana Šimić
References
- 1. Arabzad, A.C. (2014). Football Match Results Prediction Using Artificial eural Networks: The Case of Iran Pro League. International Journal of Applied Research on Industrial Engineering. Vol. 1, No. 3, pp 159-179.
- 2. Constantinou, A.C., Fenton, N.E., Neil, M. (2012). pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowledge-Based Systems, 36, pp. 322-339.
- 3. Dixon, M.J., Coles, S.G. (1997). Modelling Association Football Scores and Inefficiencies in the Football Betting Market. Journal of the Royal Statistical Society: Series C (Applied Statistics). Vol. 46, No. 2. pp. 265-280.
- 4. Dixon, M.J., Robinson, M. (1998). A birth process model for association football matches. Journal of the Royal Statistical Society: Series D (The Statistician), Vol. 47, No. 3, pp. 523-538.
- 5. Dobravec (2015). Forecasting the football world cup results using a matrix-factorization model. Elektrotehniški Vestnik, Vol. 82, No 1, pp 61-65.
- 6. Hill, I.D. (1974). Association football and statistical inference. Applied statistics, Vol. 23, pp. 203-208.
- 7. Karlis, D., Ntzoufras, I. (2003). Analysis of sports data by using bivariate Poisson models. Journal of the Royal Statistical Society: Series D (The Statistician), Vol. 52, No. 3, pp. 381-393.
- 8. Koopman S.J., Lit, R. (2015). A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 178, No. 1, pp. 167-186.
- 9. Lee A. J. (1997). Modeling scores in Premier League: is Manchester United really the best. Chance, Vol. 10, pp. 15-19.
- 10. Maher M.J. (1982). Modelling association football scores. Statistica Neerlandica, Vol. 36, pp. 109-118.
- 11. Moneyball (2011). Directed by Bennett Miller [Film]. USA: Columbia Pictures.
- 12. Moroney, M.J. (1951). Facts from figures. London: Penguin
- 13. Muller, H-G., Stadtmuller, U. (2005). Generalized Functional Linear Models. The Annals of Statistics, Vol. 33 No. 2, pp. 774-805.
- 14. Munđar, D., Šamarija, D. (2016). Primjena simulacijskih modela za prognoziranje rezultata u bowlingu, Poučak, Vol. 64, pp. 73-79.
- 15. Munđar, D., Šimić, D. (2016) Croatian First Football League: Prediction of teams' ranking in the championship, Proceedings of the ISCCRO - International Statistical Conference in Croatia. Zagreb: Croatian Statistical Association, Vol 1, No. 1, pp. 211-217.
- 16. Owen, A.J. (2011). Dynamic Bayesian forecasting models of football match outcomes with estimation of the evolution variance parameter. IMA Journal of Management Mathematics, Vol. 22, No. 2, pp. 99-113.
- 17. Rotshtein, A., Posner, M., Rakytyanska, H. (2005). Prediction of results of Football games base of Fuzzy model with genetic and neuro tuning. Cybernetics and Systems Analysis, Vol. 41, No. 4, pp. 619-630.
- 18. Rue, H., Salvesen, O. (2000). Prediction and Retrospective Analysis of Soccer Matches in a League, Journal of the Royal Statistical Society. Series D (Statistician), Vol. 49, No. 3, pp. 399-418.
- 19. Sports Analytics Group, University of Toronto. Introduction to Sports Analytics, http://sportsanalytics.sa.utoronto.ca/2014/12/11/introduction-to-sports-analytics/, [03 January 2016]
DOI: https://doi.org/10.1515/crebss-2016-0006 | Journal eISSN: 2459-5616
Language: English
Page range: 15 - 23
Submitted on: May 25, 2016
Accepted on: Aug 24, 2016
Published on: Oct 15, 2016
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Related subjects:
© 2016 Dušan Munđar, Diana Šimić, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.