Reference change · 10.1371/journal.pone.0266838

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Hierarchy and ranking in pairwise sports contests

ref [38] · 2508.19848 · notice #8528 · dispute

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The analysis and forecasting of tennis matches by using a high dimensional dynamic model. J. Royal Stat. Soc. Ser. A (Statistics Soc. 182, 1393-1409, DOI: https://doi.org/10.1111/rssa.12464 (2019). 38. Yue, J. C., Chou, E. P., Hsieh, M.-H. & Hsiao, L.-C. A study of forecasting tennis matches via the glicko model. PLOS ONE 17, e0266838, DOI: https://doi.org/10.1371/journal.pone.0266838 (2022). 39. Arcagni, A., Candila, V . & Grassi, R. A new model for predicting the winner in tennis based on the eigenvector centrality. Annals Oper. Res. 325, 615-632, DOI: https://doi.org/10.1007/s10479-022-04594-7 (2023). 40. Bradley, R. A. & Terry, M. E. Rank analysis of incomplete block designs: I. the method of paired comparisons. Biometrika

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