Please use this identifier to cite or link to this item:

Title: Men's Performance in Triple Jump: an approach with Extreme Value Theory
Authors: Caeiro, F.
Silva, D.
Oliveira, Manuela
Editors: Skiadas, Christos H.
Keywords: Extreme value theory
Block maxima
Generalized extreme value distribution
Issue Date: Nov-2018
Publisher: ISAST: International Society for the Advancement of Science and Technology.
Citation: Caeiro, F., Silva, D. Olveira, M., 2018.Men's Performance in Triple Jump: an approach with Extreme Value Theory. Proceedings of the 5 th Stochastic Modeling Techniques and Data Analysis International Conference with Demographics Workshop Chania, Crete, Greece: 12-15 June, 2018 Published by: ISAST: International Society for the Advancement of Science and Technology. Ed. Skiadas, H. c.
Abstract: Emil Gumbel was the first to use extreme value models in statistics applications. In the block method an Extreme Value distribution is fitted to the sample of block maxima obtained from non-overlapping blocks of a series of random variables. The block length is usually long (usually chosen as one year), to assure the independence of the block maxima sample. Although this method has proved to be useful in diversified situations, it has also been criticized since we are wasting information by using only the observed maxima from each block. To use more information about the tail of the model underlying the data, the block maxima method was more recently extended to the r−largest order statistics method. The choice of the number r ≥ 1 of largest order statistics taken from each block must be made with careful, due to the usual bias and variance trade-off. In this work we use the r−largest order statistical method to study the limit of men’s performance in Triple Jump event. Our results indicate a negative extreme value index and thus a finite right endpoint for the extreme value model.
Type: article
Appears in Collections:CIMA - Artigos em Livros de Actas/Proceedings

Files in This Item:

File Description SizeFormat
Caeiro et al 2018.pdf133.34 kBAdobe PDFView/OpenRestrict Access. You can Request a copy!
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois