| bibtype |
J -
Journal Article
|
| ARLID |
0411270 |
| utime |
20240103182314.2 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Cox's regression model for dynamics of grouped unemployment data |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0293025 |
| ISSN |
1212-074X |
| title
|
Bulletin of the Czech Econometric Society |
| volume_id |
10 |
| volume |
19 (2003) |
| page_num |
151-162 |
|
| keyword |
mathematical statistics |
| keyword |
survival analysis |
| keyword |
Cox's model |
| author
(primary) |
| ARLID |
cav_un_auth*0101227 |
| name1 |
Volf |
| name2 |
Petr |
| institution |
UTIA-B |
| full_dept |
Department of Stochastic Informatics |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
12B |
| cas_special |
| project |
| project_id |
GA402/01/0539 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0008959 |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
The contribution deals with Cox regression models of intensity and statistical analysis of sequences of random events when observed data are grouped, i.e. the numbers of observed events are summarized in discrete time periods and the values of covariates influencing the intensity are grouped to distinct classes, too. Cox model formulation and the procedure of estimation of parameters are presented. The approach is then applied to the analysis of Czech unemployment data from period 1993-1999. |
| RIV |
BB |
| department |
SI |
| permalink |
http://hdl.handle.net/11104/0131354 |
| ID_orig |
UTIA-B 20030257 |
| arlyear |
2003 |
| mrcbU63 |
cav_un_epca*0293025 Bulletin of the Czech Econometric Society 1212-074X Roč. 10 č. 19 2003 151 162 |
|