Statistical tools for modeling team performances through soccer databases: the world cup and the European championship
Di Benedetti Sanchez de Lamadrid, Luca (A.A. 2021/2022) Statistical tools for modeling team performances through soccer databases: the world cup and the European championship. Tesi di Laurea in Data analysis for social sciences, Luiss Guido Carli, relatore Serena Arima, pp. 57. [Master's Degree Thesis]
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Abstract/Index
The dataset. Building the dataset. Descriptive analysis. Statistical tools. The binomial logistic regression model. Principal component analysis. Model goodness-of-fit statistics. Model prediction indexes. Modelling match results using team performances. Results for the whole dataset. Results for the by-competition dataset. Extension and prediction of the BLR model.
References
Bibliografia e sitografia: pp. 34-35.
Thesis Type: | Master's Degree Thesis |
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Institution: | Luiss Guido Carli |
Degree Program: | Master's Degree Programs > Master's Degree program in Global Management and Politics, English language (LM-77) |
Chair: | Data analysis for social sciences |
Thesis Supervisor: | Arima, Serena |
Thesis Co-Supervisor: | Mingione, Marco |
Academic Year: | 2021/2022 |
Session: | Summer |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 21 Nov 2022 15:09 |
Last Modified: | 21 Nov 2022 15:09 |
URI: | https://tesi.luiss.it/id/eprint/33977 |
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