bibtype J - Journal Article
ARLID 0359392
utime 20240103195146.7
mtime 20110510235959.9
WOS 000289919600005
DOI 10.1093/imaman/dpq010
title (primary) (eng) A stochastic model of progression of athletic records
specification
page_count 13 s.
serial
ARLID cav_un_epca*0297190
ISSN 1471-678X
title IMA Journal of Management Mathematics
volume_id 22
volume 2 (2011)
page_num 157-169
keyword sport statistics
keyword record
keyword non-linear regression
author (primary)
ARLID cav_un_auth*0101227
name1 Volf
name2 Petr
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
cas_special
project
project_id IAA101120604
agency GA AV ČR
country CZ
ARLID cav_un_auth*0215816
research CEZ:AV0Z10750506
abstract (eng) A statistical model for development of track and field records is presented. The progression of the best results of each year is fitted by a non-linear regression model with non-constant variance. On this basis, the probability of a new record occurrence as well as the distribution of a new record improvement are derived. We also discuss the problems of record prediction and the existence of ultimate records. Our application deals with the men’s 100m sprint and the men’s long-jump data.
reportyear 2012
RIV BB
permalink http://hdl.handle.net/11104/0197186
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arlyear 2011
mrcbU34 000289919600005 WOS
mrcbU63 cav_un_epca*0297190 IMA Journal of Management Mathematics 1471-678X 1471-6798 Roč. 22 č. 2 2011 157 169