Estimating age-dependent performance in paired comparisons competitions: application to snooker
Author:
Affiliation:
1. Salford Business School , University of Salford , Salford , M5 4WT , UK
2. University of Liverpool Management School , Liverpool , L69 7ZH , UK
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.degruyter.com/document/doi/10.1515/jqas-2023-0082/pdf
Reference18 articles.
1. Baker, R. D. and Jackson, D. (2014). Statistical application of barycentric rational interpolants: an alternative to splines. Comput. Stat. 29: 1065–1081. https://doi.org/10.1007/s00180-014-0480-7.
2. Baker, R. D. and McHale, I.G. (2014a). A dynamic paired comparisons model: who is the greatest tennis player? Eur. J. Oper. Res. 236: 677–684. https://doi.org/10.1016/j.ejor.2013.12.028.
3. Baker, R. D. and McHale, I.G. (2014b). Time varying ratings in association football: the all-time greatest team is. J. Roy. Stat. Soc. A 178: 481–492. https://doi.org/10.1111/rssa.12060.
4. Baker, R. D. and McHale, I.G. (2017). An empirical bayes model for time-varying paired comparisons ratings: who is the greatest women’s tennis player? Eur. J. Oper. Res. 258: 328–333. https://doi.org/10.1016/j.ejor.2016.08.043.
5. Baker, R. D. and McHale, I.G. (2023, in press). A flexible mixed model for age-dependent performance: application to golf. J. Roy. Stat. Soc. Appl. Stat. 72: 1260–1275.
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