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Wittkowski KM, Song T, Anderson K, et al. U-Scores for Multivariate Data in Sports. J Quant Anal Sports. 2008;4(3)doi: 10.2202/1559-0410.1129,.
Wittkowski, K. M., Song, T., Anderson, K., & Daniels, J. E. (2008). U-Scores for Multivariate Data in Sports. Journal of quantitative analysis in sports, 4(3), . https://doi.org/10.2202/1559-0410.1129,
Wittkowski, Knut M, et al. "U-Scores for Multivariate Data in Sports." Journal of quantitative analysis in sports vol. 4,3 (2008). doi: https://doi.org/10.2202/1559-0410.1129,
Wittkowski KM, Song T, Anderson K, Daniels JE. U-Scores for Multivariate Data in Sports. J Quant Anal Sports. 2008 Jul 18;4(3). doi: 10.2202/1559-0410.1129,. PMID: 24163644; PMCID: PMC3807569.
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J Quant Anal Sports. 2008 Jul 18;4(3). doi: 10.2202/1559-0410.1129,.

U-Scores for Multivariate Data in Sports.

Journal of quantitative analysis in sports

Knut M Wittkowski, Tingting Song, Kent Anderson, John E Daniels

Affiliations

  1. The Rockefeller University.

PMID: 24163644 PMCID: PMC3807569 DOI: 10.2202/1559-0410.1129,

Abstract

In many sport competitions athletes, teams, or countries are evaluated based on several variables. The strong assumptions underlying traditional 'linear weight' scoring systems (that the relative importance, interactions and linearizing transformations of the variables are known) can often not be justified on theoretical grounds, and empirical 'validation' of weights, interactions and transformations, is problematic when a 'gold standard' is lacking. With

Keywords: Olympics; Tour-de-France; ability; baseball; multivariate; performance; ranking; soccer; statistics; triathlon; voting

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