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Title: Modeling swimming marks through Blocks and POT methods
Authors: Gomes, Dulce
Teles, Júlia
Canto e Castro, Luísa
Editors: Conesa, David
Forte, Anabel
López-Quílez, Antonio
Keywords: Extreme value models
Generalized Pareto models
Blocks method
Peaks over threshold method
Issue Date: Jul-2011
Publisher: Proceeding of the 26rd International Workshop on Statistical Modelling
Citation: International Workshop on Statistical Modelling
Abstract: The swimming marks in the 100 m men's freestyle long course are modelled using extreme value theory. Using the statistical package R, extreme value and generalized Pareto models were adjusted in order to estimate the left endpoint of these models. The left endpoint can be interpreted as the best mark that can ever be reached, admitting that swimming pool conditions, athlete's equipment and training methods remain the same.
Type: article
Appears in Collections:MAT - Artigos em Livros de Actas/Proceedings

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