Papers and Books

Kenett R.S., Redman T.C. (2019)

The Real Work of Data Science

John Wiley and Sons Ltd, Hoboken, United States

Carpita M., Ciavolino E., Pasca P. (2019)

Exploring and modelling team performances of the Kaggle European Soccer Database

Statistical Modelling, 19, 1, 1-29

Statistical Modelling, Vol 18, No 5-6 (2018) and Vol 19, No 1 (2019)

Special Issue “Statistical Modelling for Sports Analystics”

Guest editors: Andreas Groll, Marica Manisera, Gunther Schauberger, Paola Zuccolotto

Part 1 Part 2

Golia S., Carpita M. (2018)

On classifiers to predict soccer match results

FedOAPress Book, Napoli

Electronic Journal of Applied Statistical Analysis (EJASA), Vol 10, No 3 (2017)

Special Issue “Statistics in Sports”

Guest editors: Paola Zuccolotto, Marica Manisera, Ron Kenett

Koopman S.J., Lit R. (2017)

Forecasting football match results in national league competitions using score-driven time series models

Tinbergen Institute Discussion Paper, TI 2017-062/III

Kenett R.S., Shmueli G. (2016)

Information Quality Data Analytics: The Potential of Data and Analytics to Generate Knowledge

John Wiley & Sons, Ltd.

See more about the book See more about InfoQ

Vorobyev A., Zarova E., Solntsev I., Osokin N., Zhulevich V. (2016)

Statistical evaluation of football performance depending on the socio-economic development of countries

Statistical Journal of the IAOS, 32, 3, 403-411

Groll A., Schauberger G. and Tutz G. (2015)

Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014

Journal of Quantitative Analysis in Sports, 11, 2, 97-115

Tutz G. and Schauberger G. (2015)

Extended Ordered Paired Comparison Models with Application to Football Data from German Bundesliga

Advances in Statistical Analysis, 99, 2, 209-227

Carpita M., Sandri M., Simonetto A., Zuccolotto P. (2015)

Discovering the Drivers of Football Match Outcomes with Data Mining

Quality Technology and Quantitative Management, 12, 4, 537-553

Koopman, S. J. and 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, 178, 1, 167-186

Carpita M., Sandri M., Simonetto A., Zuccolotto P. (2014)

Football Mining with R

Data Mining Applications with R (Yanchang Z., Yonghua C. eds.), chapter 14, Elsevier

Groll A. and Abedieh J. (2013)

Spain retains its title and sets a new record – generalized linear mixed models on European football championships

Journal of Quantitative Analysis in Sports, 9, 1, 51-66