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Bivariate extreme analysis of olympic swimming data

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Bivariate extreme analysis of olympic swimming data. / Adam, M. Bakri; Tawn, Jonathan Angus.
In: Journal of Statistical Theory and Practice, Vol. 6, No. 3, 2012, p. 510-523.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Adam, MB & Tawn, JA 2012, 'Bivariate extreme analysis of olympic swimming data', Journal of Statistical Theory and Practice, vol. 6, no. 3, pp. 510-523. https://doi.org/10.1080/15598608.2012.695702

APA

Adam, M. B., & Tawn, J. A. (2012). Bivariate extreme analysis of olympic swimming data. Journal of Statistical Theory and Practice, 6(3), 510-523. https://doi.org/10.1080/15598608.2012.695702

Vancouver

Adam MB, Tawn JA. Bivariate extreme analysis of olympic swimming data. Journal of Statistical Theory and Practice. 2012;6(3):510-523. Epub 2012 Aug 10. doi: 10.1080/15598608.2012.695702

Author

Adam, M. Bakri ; Tawn, Jonathan Angus. / Bivariate extreme analysis of olympic swimming data. In: Journal of Statistical Theory and Practice. 2012 ; Vol. 6, No. 3. pp. 510-523.

Bibtex

@article{6170cac0846e42bbb28df60adb60e57b,
title = "Bivariate extreme analysis of olympic swimming data",
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.",
keywords = "60G70, 62E10, 62G32, 62P99, Bivariate extreme value theory, Generalized extreme value distribution, Olympic games, Penalalized likelihood, Stochastic ordering, 62G30",
author = "Adam, {M. Bakri} and Tawn, {Jonathan Angus}",
year = "2012",
doi = "10.1080/15598608.2012.695702",
language = "English",
volume = "6",
pages = "510--523",
journal = "Journal of Statistical Theory and Practice",
issn = "1559-8616",
publisher = "Taylor and Francis",
number = "3",

}

RIS

TY - JOUR

T1 - Bivariate extreme analysis of olympic swimming data

AU - Adam, M. Bakri

AU - Tawn, Jonathan Angus

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - 60G70

KW - 62E10

KW - 62G32

KW - 62P99

KW - Bivariate extreme value theory

KW - Generalized extreme value distribution

KW - Olympic games

KW - Penalalized likelihood

KW - Stochastic ordering

KW - 62G30

U2 - 10.1080/15598608.2012.695702

DO - 10.1080/15598608.2012.695702

M3 - Journal article

VL - 6

SP - 510

EP - 523

JO - Journal of Statistical Theory and Practice

JF - Journal of Statistical Theory and Practice

SN - 1559-8616

IS - 3

ER -