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Modelling record times in sport with extreme value methods

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Modelling record times in sport with extreme value methods. / Adam, M. B.; Tawn, Jonathan Angus.
In: Malaysian Journal of Mathematical Sciences , Vol. 10, No. 1, 01.2016, p. 1-21.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Adam, MB & Tawn, JA 2016, 'Modelling record times in sport with extreme value methods', Malaysian Journal of Mathematical Sciences , vol. 10, no. 1, pp. 1-21. <http://einspem.upm.edu.my/journal/fullpaper/vol10no1/1.%20bakri.pdf>

APA

Vancouver

Adam MB, Tawn JA. Modelling record times in sport with extreme value methods. Malaysian Journal of Mathematical Sciences . 2016 Jan;10(1):1-21.

Author

Adam, M. B. ; Tawn, Jonathan Angus. / Modelling record times in sport with extreme value methods. In: Malaysian Journal of Mathematical Sciences . 2016 ; Vol. 10, No. 1. pp. 1-21.

Bibtex

@article{d46cf1cc04da4855b11af1235259908c,
title = "Modelling record times in sport with extreme value methods",
abstract = "We exploit connections between extreme value theory and record processes to develop inference methods for record processes. Record processes have trends in them even when the underlying process is stationary. We study the problem of estimating the underlying trend in times achieved in sports from record data. We develop new methods for inference, simulating record series in non-stationary contexts, and assessing fit which account for the censored characteristic of record data and we apply these methods to athletics and swimming data.",
keywords = "athletics, Extreme value theory, Poisson process, Records, Swimming",
author = "Adam, {M. B.} and Tawn, {Jonathan Angus}",
year = "2016",
month = jan,
language = "English",
volume = "10",
pages = "1--21",
journal = "Malaysian Journal of Mathematical Sciences ",
issn = "1823-8343",
publisher = "Universiti Putra Malaysia",
number = "1",

}

RIS

TY - JOUR

T1 - Modelling record times in sport with extreme value methods

AU - Adam, M. B.

AU - Tawn, Jonathan Angus

PY - 2016/1

Y1 - 2016/1

N2 - We exploit connections between extreme value theory and record processes to develop inference methods for record processes. Record processes have trends in them even when the underlying process is stationary. We study the problem of estimating the underlying trend in times achieved in sports from record data. We develop new methods for inference, simulating record series in non-stationary contexts, and assessing fit which account for the censored characteristic of record data and we apply these methods to athletics and swimming data.

AB - We exploit connections between extreme value theory and record processes to develop inference methods for record processes. Record processes have trends in them even when the underlying process is stationary. We study the problem of estimating the underlying trend in times achieved in sports from record data. We develop new methods for inference, simulating record series in non-stationary contexts, and assessing fit which account for the censored characteristic of record data and we apply these methods to athletics and swimming data.

KW - athletics

KW - Extreme value theory

KW - Poisson process

KW - Records

KW - Swimming

M3 - Journal article

VL - 10

SP - 1

EP - 21

JO - Malaysian Journal of Mathematical Sciences

JF - Malaysian Journal of Mathematical Sciences

SN - 1823-8343

IS - 1

ER -