Modeling swimming marks through Blocks and POT methods

dc.contributor.authorGomes, Dulce
dc.contributor.authorTeles, Júlia
dc.contributor.authorCanto e Castro, Luísa
dc.contributor.editorConesa, David
dc.contributor.editorForte, Anabel
dc.contributor.editorLópez-Quílez, Antonio
dc.date.accessioned2012-01-27T10:42:53Z
dc.date.available2012-01-27T10:42:53Z
dc.date.issued2011-07
dc.description.abstractThe 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.por
dc.identifier.authoremaildmog@uevora.pt
dc.identifier.authoremailjteles@fmh.utl.pt
dc.identifier.authoremailluisa.loura@deio.fc.pt
dc.identifier.citationInternational Workshop on Statistical Modellingpor
dc.identifier.scientificarea336por
dc.identifier.urihttp://hdl.handle.net/10174/4309
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherProceeding of the 26rd International Workshop on Statistical Modellingpor
dc.rightsopenAccesspor
dc.subjectExtreme value modelspor
dc.subjectGeneralized Pareto modelspor
dc.subjectBlocks methodpor
dc.subjectPeaks over threshold methodpor
dc.titleModeling swimming marks through Blocks and POT methodspor
dc.typearticlepor
degois.publication.firstPage273por
degois.publication.issue26por
degois.publication.lastPage275por
degois.publication.locationValência, Espanhapor
degois.publication.titleProceeding of the International Workshop on Statistical Modellingpor

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Proceedings IWSM2011 Valencia.pdf
Size:
3.28 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
3.89 KB
Format:
Item-specific license agreed upon to submission
Description: