bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0532129 |
utime |
20240103224411.5 |
mtime |
20200914235959.9 |
title
(primary) (eng) |
Bivariate Geometric Distribution and Competing Risks: Statistical Analysis and Application |
specification |
page_count |
7 s. |
media_type |
E |
|
serial |
ARLID |
cav_un_epca*0532128 |
ISBN |
978-80-7509-734-7 |
title
|
38th INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS (MME 2020) : Conference Proceedings |
page_num |
636-642 |
publisher |
place |
Brno |
name |
Mendel University in Brno |
year |
2020 |
|
editor |
name1 |
Kapounek |
name2 |
Svatopluk |
|
editor |
|
|
keyword |
bivariate geometric distribution |
keyword |
competing risks |
keyword |
unemployment data |
author
(primary) |
ARLID |
cav_un_auth*0101227 |
share |
100 |
name1 |
Volf |
name2 |
Petr |
institution |
UTIA-B |
full_dept (cz) |
Stochastická informatika |
full_dept (eng) |
Department of Stochastic Informatics |
department (cz) |
SI |
department (eng) |
SI |
full_dept |
Department of Stochastic Informatics |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0363963 |
project_id |
GA18-02739S |
agency |
GA ČR |
|
abstract
(eng) |
The contribution studies the statistical model for discrete time two-variate duration (time-to-event) data. The analysis is complicated by partial data observation caused either by the right-side censoring or by the presence of dependent competing events. The case is modeled and analyzed with the aid of a two-variate geometric distribution. The model identifiability is discussed and it is shown that the model is not identifiable without proper additional assumptions. The method of analysis is illustrated both on artificially generated\nexample and on real unemployment data. |
action |
ARLID |
cav_un_auth*0395560 |
name |
INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS (MME 2020) /38./ |
dates |
20200909 |
mrcbC20-s |
20200911 |
place |
Brno |
country |
CZ |
|
RIV |
BB |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10103 |
reportyear |
2021 |
num_of_auth |
1 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0310739 |
confidential |
S |
arlyear |
2020 |
mrcbU02 |
C |
mrcbU14 |
SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
mrcbU63 |
cav_un_epca*0532128 38th INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS (MME 2020) : Conference Proceedings Mendel University in Brno 2020 Brno 636 642 978-80-7509-734-7 |
mrcbU67 |
340 Kapounek Svatopluk |
mrcbU67 |
340 Vránová Hana |
|