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A new model for predicting the winner in tennis based on the eigenvector centrality
The use of statistical tools for predicting the winner in tennis matches has enjoyed an increase in popularity over the last two decades and, currently, a variety of methods are available. In particular, paired comparison approaches make use of latent ability estimates or rating calculations to dete...
Autores principales: | Arcagni, Alberto, Candila, Vincenzo, Grassi, Rosanna |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900648/ https://www.ncbi.nlm.nih.gov/pubmed/35283548 http://dx.doi.org/10.1007/s10479-022-04594-7 |
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