在没有高科技泳衣的情况下恢复男子游泳的真实世界纪录

IF 1.1 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS
Zhenyu Gao, Yixing Li, Zhengxin Wang
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引用次数: 2

摘要

刚刚结束的2019年世界游泳锦标赛是又一项大型游泳比赛,见证了人类运动员在许多项目上取得的巨大进步。然而,10年前高科技泳装时代创造的一些世界纪录仍未被打破。随着过去十年技术技能和训练方法的进步,无法打破这些世界纪录强烈表明,泳装奖金的记录并不能反映人类运动员在历史上取得的真正进步。许多游泳专业人士和爱好者都渴望知道,如果高科技泳衣从未被允许使用,真实的世界纪录将会是什么样的。本文结合各种先进的概率建模和优化方法,试图在没有高科技泳衣的情况下恢复男子游泳的真实世界纪录。通过对泳装偏差、自然改善和运动员内在表现的建模和分离,本文的结果提供了真实世界记录的最优估计和95%置信区间。所提出的方法也可以应用于各种类似的研究与多因素的考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Restoring the real world records in Men’s swimming without high-tech swimsuits
Abstract The recently concluded 2019 World Swimming Championships was another major swimming competition that witnessed some great progresses achieved by human athletes in many events. However, some world records created 10 years ago back in the era of high-tech swimsuits remained untouched. With the advancements in technical skills and training methods in the past decade, the inability to break those world records is a strong indication that records with the swimsuit bonus cannot reflect the real progressions achieved by human athletes in history. Many swimming professionals and enthusiasts are eager to know a measure of the real world records had the high-tech swimsuits never been allowed. This paper attempts to restore the real world records in Men’s swimming without high-tech swimsuits by integrating various advanced methods in probabilistic modeling and optimization. Through the modeling and separation of swimsuit bias, natural improvement, and athletes’ intrinsic performance, the result of this paper provides the optimal estimates and the 95% confidence intervals for the real world records. The proposed methodology can also be applied to a variety of similar studies with multi-factor considerations.
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来源期刊
Journal of Quantitative Analysis in Sports
Journal of Quantitative Analysis in Sports SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
2.00
自引率
12.50%
发文量
15
期刊介绍: The Journal of Quantitative Analysis in Sports (JQAS), an official journal of the American Statistical Association, publishes timely, high-quality peer-reviewed research on the quantitative aspects of professional and amateur sports, including collegiate and Olympic competition. The scope of application reflects the increasing demand for novel methods to analyze and understand data in the growing field of sports analytics. Articles come from a wide variety of sports and diverse perspectives, and address topics such as game outcome models, measurement and evaluation of player performance, tournament structure, analysis of rules and adjudication, within-game strategy, analysis of sporting technologies, and player and team ranking methods. JQAS seeks to publish manuscripts that demonstrate original ways of approaching problems, develop cutting edge methods, and apply innovative thinking to solve difficult challenges in sports contexts. JQAS brings together researchers from various disciplines, including statistics, operations research, machine learning, scientific computing, econometrics, and sports management.
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