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]

[img] PDF (Full text)
Restricted to Registered users only

Download (2MB) | Request a copy

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

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item