Bivariate extreme analysis of olympic swimming data

Adam, M. Bakri and Tawn, Jonathan Angus (2012) Bivariate extreme analysis of olympic swimming data. Journal of Statistical Theory and Practice, 6 (3). pp. 510-523. ISSN 1559-8616

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Abstract

We model the times of the gold medalist swimmers in the Olympic Games. As the data represent an extreme value we use methods from extreme value theory. Features of the recorded variables lead to the inclusion of mixed parametric and nonparametric modeling for the marginal nonstationarity, constraints on marginal parameters to account for stochastic ordering between times from different events, and bivariate modeling to capture dependence across winning event times. Our analysis provides greater insight into the progression of winning times.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Statistical Theory and Practice
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
?? 60g7062e1062g3262p99bivariate extreme value theorygeneralized extreme value distributionolympic gamespenalalized likelihoodstochastic ordering62g30statistics and probability ??
ID Code:
76762
Deposited By:
Deposited On:
23 Nov 2015 11:30
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 15:36