Papers and Books

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

The Real Work of Data Science

John Wiley and Sons Ltd, Hoboken, United States

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

Exploring and modelling team performances of the Kaggle European Soccer Database

Statistical Modelling, 19, 1, 1-29

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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

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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

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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

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

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

John Wiley & Sons, Ltd.

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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

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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

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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

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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

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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

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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

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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

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