Modelling record times in sport with extreme value methods
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 re...
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Institute for Mathematical Research, Universiti Putra Malaysia
2016
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| 在线阅读: | http://psasir.upm.edu.my/id/eprint/29336/1/29336.pdf http://psasir.upm.edu.my/id/eprint/29336/ http://einspem.upm.edu.my/journal/fullpaper/vol10no3/1.%20bakri.pdf |
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my.upm.eprints.293362016-08-03T02:36:43Z http://psasir.upm.edu.my/id/eprint/29336/ Modelling record times in sport with extreme value methods Adam, Mohd Bakri Tawn, Jonathan A. 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. Institute for Mathematical Research, Universiti Putra Malaysia 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/29336/1/29336.pdf Adam, Mohd Bakri and Tawn, Jonathan A. (2016) Modelling record times in sport with extreme value methods. Malaysian Journal of Mathematical Sciences, 10 (1). pp. 1-21. ISSN 1823-8343; ESSN: 2289-750X http://einspem.upm.edu.my/journal/fullpaper/vol10no3/1.%20bakri.pdf |
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Universiti Putra Malaysia |
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Malaysia |
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Universiti Putra Malaysia |
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English |
| description |
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. |
| format |
Article |
| author |
Adam, Mohd Bakri Tawn, Jonathan A. |
| spellingShingle |
Adam, Mohd Bakri Tawn, Jonathan A. Modelling record times in sport with extreme value methods |
| author_facet |
Adam, Mohd Bakri Tawn, Jonathan A. |
| author_sort |
Adam, Mohd Bakri |
| title |
Modelling record times in sport with extreme value methods |
| title_short |
Modelling record times in sport with extreme value methods |
| title_full |
Modelling record times in sport with extreme value methods |
| title_fullStr |
Modelling record times in sport with extreme value methods |
| title_full_unstemmed |
Modelling record times in sport with extreme value methods |
| title_sort |
modelling record times in sport with extreme value methods |
| publisher |
Institute for Mathematical Research, Universiti Putra Malaysia |
| publishDate |
2016 |
| url |
http://psasir.upm.edu.my/id/eprint/29336/1/29336.pdf http://psasir.upm.edu.my/id/eprint/29336/ http://einspem.upm.edu.my/journal/fullpaper/vol10no3/1.%20bakri.pdf |
| _version_ |
1643829730084913152 |
| score |
13.251813 |