bibtype |
J -
Journal Article
|
ARLID |
0477767 |
utime |
20240103214458.2 |
mtime |
20170911235959.9 |
DOI |
10.5300/IB |
title
(primary) (eng) |
Competing risk model with a non-traditional application |
specification |
page_count |
11 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0296652 |
ISSN |
1210-8022 |
title
|
Informační bulletin České statistické společnosti |
volume_id |
28 |
volume |
1 (2017) |
page_num |
1-11 |
publisher |
name |
Česká statistická společnost |
|
|
keyword |
competing risks |
keyword |
survival analysis |
keyword |
sports statistics |
author
(primary) |
ARLID |
cav_un_auth*0101227 |
full_dept (cz) |
Stochastická informatika |
full_dept (eng) |
Department of Stochastic Informatics |
department (cz) |
SI |
department (eng) |
SI |
full_dept |
Department of Stochastic Informatics |
share |
100 |
name1 |
Volf |
name2 |
Petr |
institution |
UTIA-B |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
abstract
(eng) |
The competing risks scheme is used to the analysis of time to the fi rst goal in a football (soccer) match. The competing random variables are two latent times (of two teams) to scoring. It is assumed that these times are exponentially distributed, their mutual dependence is described by a copula ensuring the model identi ability. As a real example the data from two seasons 2014-2016 of the Czech First League are analyzed and compared. |
RIV |
BB |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10103 |
reportyear |
2018 |
num_of_auth |
1 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0274236 |
confidential |
S |
arlyear |
2017 |
mrcbU14 |
SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
mrcbU63 |
cav_un_epca*0296652 Informační bulletin České statistické společnosti 1210-8022 Roč. 28 č. 1 2017 1 11 Česká statistická společnost |
|