Bayesian prediction of winning times for elite swimming events.

Wu, Paul Pao-Yen; Garufi, Lawrence; Drovandi, Christopher; Mengersen, Kerrie; Mitchell, Lachlan J G; Osborne, Mark A; Pyne, David B

Wu, Paul Pao-Yen; Garufi, Lawrence; Drovandi, Christopher; Mengersen, Kerrie; Mitchell, Lachlan J G; Osborne, Mark A; Pyne, David B.

Afiliação

Wu PP; School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Garufi L; ACEMS Centre of Excellence in Mathematical and Statistical Frontiers (Acems), Melbourne, VIC, Australia.
Drovandi C; School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Mengersen K; ACEMS Centre of Excellence in Mathematical and Statistical Frontiers (Acems), Melbourne, VIC, Australia.
Mitchell LJG; School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Osborne MA; ACEMS Centre of Excellence in Mathematical and Statistical Frontiers (Acems), Melbourne, VIC, Australia.
Pyne DB; School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.

J Sports Sci ; 40(1): 24-31, 2022 Jan.

Article em En | MEDLINE | ID: mdl-34544331

Assuntos

Comportamento Competitivo; Natação; Atletas; Teorema de Bayes; Humanos; Fatores de Tempo

Palavras-chave

Data; Olympics; performance analysis; quantitative analysis; statistics

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Natação / Comportamento Competitivo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Sports Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália

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