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Analysis of quantile regression for race time in standard distance triathlons

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  • Junhui Zhao
  • Yongfang Ma
  • Xiaoxiao Hu

Abstract

Purpose: This study aims to quantitatively analyze the impact of split times on overall performance in standard distance triathlon events. It also examines how environmental factors such as water type, temperature, and altitude affect overall race outcomes. Methods: Quantile regression was employed to analyze the race records of 1,580 triathletes participating in 46 standard distance events in China. Results: Swim time significantly influences race performance among the top 50% of elite athletes (p

Suggested Citation

  • Junhui Zhao & Yongfang Ma & Xiaoxiao Hu, 2024. "Analysis of quantile regression for race time in standard distance triathlons," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-12, November.
    • Handle: RePEc:plo:pone00:0313496
    DOI: 10.1371/journal.pone.0313496
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    References listed on IDEAS

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    1. Naidenova, Iuliia & Parshakov, Petr & Suvorov, Sergei, 2022. "Air pollution and individual productivity: Evidence from the Ironman Triathlon results," Economics & Human Biology, Elsevier, vol. 47(C).
    2. Javier Olaya & José Fernández-Sáez & Ove Østerlie & Alberto Ferriz-Valero, 2021. "Contribution of Segments to Overall Result in Elite Triathletes: Sprint Distance," IJERPH, MDPI, vol. 18(16), pages 1-11, August.
    3. Lucas Pinheiro Barbosa & Caio Victor Sousa & Marcelo Magalhães Sales & Rafael dos Reis Olher & Samuel Silva Aguiar & Patrick Anderson Santos & Eduard Tiozzo & Herbert Gustavo Simões & Pantelis Theodor, 2019. "Celebrating 40 Years of Ironman: How the Champions Perform," IJERPH, MDPI, vol. 16(6), pages 1-9, March.
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