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 |
|
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 |
mrcbT16-e |
MANAGEMENT |
mrcbT16-g |
0.107 |
mrcbT16-h |
6.2 |
mrcbT16-i |
0.00078 |
mrcbT16-k |
174 |
mrcbT16-l |
28 |
mrcbT16-s |
0.384 |
mrcbT16-4 |
Q2 |
mrcbT16-C |
15.850 |
mrcbT16-E |
Q3 |
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 |
|