Assessing the market values of soccer players – a robust analysis of data from German 1. and 2. Bundesliga

DOI10.1080/02664763.2018.1540689OpenAlexW2899459478WikidataQ128969434 ScholiaQ128969434MaRDI QIDQ5036587

Steffen Liebscher, Thomas Kirschstein

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2018.1540689

zbMATH Keywords

multivariate analysisrobust regressionmarket valuesoccer datasoccer player performance

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (4)

The wisdom of crowds and transfer market values ⋮ Observed heterogeneity in players' football performance analysis using PLS-PM ⋮ Clustering of variables methods and measurement models for soccer players' performances ⋮ Estimating transfer fees of professional footballers using advanced performance metrics and machine learning

Uses Software

• robustbase
• ROBPCA
• rrcov

Cites Work

• High breakdown-point and high efficiency robust estimates for regression
• Efficiency of the pMST and RDELA location and scatter estimators
• Sharpening Wald-type inference in robust regression for small samples
• Principal component analysis.
• Alternatives to the Median Absolute Deviation
• The biplot graphic display of matrices with application to principal component analysis

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