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/).

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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  -