Optimization of Competitiveness in Sports Swimming
- DOI
- 10.2991/aebmr.k.200114.212How to use a DOI?
- Keywords
- sports result, results sampling, group of athletes, swimming specialization, optimization method, distribution function, linearity-nonlinearity of distribution
- Abstract
Researching the materials of official protocols of four world swimming championships over a period of 2013–2019 provided grounds for optimization of competitiveness quantitative and qualitative criteria in sports swimming. The method is offered concerning the differentiation of athletes’ general sample pattern structure by each swimming specialization. The unequal density of sports results in the ranges of linear and non-linear distribution is determined, which affects the quality of the results analysis in swimming. The highest density of the results distribution function, with the corresponding number of high-level athletes, regarding sports and technical readiness, is the optimizing factor of their high competitiveness in sports contests. The optimal algorithm of calculating parameters of results distribution and quantitative structure of various samples of athletes of each swimming specialization is developed and tested. The implementation of an integrated approach to optimizing the analysis of the distribution function generates a more accurate forecast of results in various disciplines of swimming based on the application of standard criteria.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - A.V. Kubeev AU - M.S. Mochalova AU - S.E. Gonzalez PY - 2020 DA - 2020/01/18 TI - Optimization of Competitiveness in Sports Swimming BT - Proceedings of the First International Volga Region Conference on Economics, Humanities and Sports (FICEHS 2019) PB - Atlantis Press SP - 863 EP - 867 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200114.212 DO - 10.2991/aebmr.k.200114.212 ID - Kubeev2020 ER -