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
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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