Construction of an anthropometric discriminant model for identification of elite swimmers: an adaptive lasso approach

Construction of an anthropometric discriminant model for identification of elite swimmers: an adaptive lasso approach

Background Anthropometric characteristics are important factors that affect swimming performance. The aim of this study is to build a discriminant model using anthropometric factors to identify elite short-to-medium-distance freestyle swimmers through an adaptive Lasso approach. Methods The study re...

書誌詳細
主要な著者:	Qile Pan, Rongxin Zhu, Jun Qiu, Guang Cai
フォーマット:	論文
言語:	English
出版事項:	PeerJ Inc. 2023-01-01
シリーズ:	PeerJ
主題:	Elite swimmer Anthropometric characteristics Discriminant modeling Talent identification Adaptive Lasso
オンライン･アクセス:	https://peerj.com/articles/14635.pdf

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