| bibtype |
J -
Journal Article
|
| ARLID |
0450902 |
| utime |
20240103211235.8 |
| mtime |
20151201235959.9 |
| WOS |
000365182300008 |
| SCOPUS |
84947492276 |
| DOI |
10.1007/s11009-014-9419-2 |
| title
(primary) (eng) |
Regression Models for Repairable Systems |
| specification |
| page_count |
10 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0297199 |
| ISSN |
1387-5841 |
| title
|
Methodology and Computing in Applied Probability |
| volume_id |
17 |
| volume |
4 (2015) |
| page_num |
963-972 |
| publisher |
|
|
| keyword |
Reliability analysis |
| keyword |
Repair models |
| keyword |
Regression |
| author
(primary) |
| ARLID |
cav_un_auth*0265032 |
| name1 |
Novák |
| name2 |
Petr |
| full_dept (cz) |
Stochastická informatika |
| full_dept (eng) |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department (eng) |
SI |
| institution |
UTIA-B |
| share |
100 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| abstract
(eng) |
The objective is to describe dependency of the failure time distribution on applicable regression variables. Models commonly used in survival analysis, such as the Cox model or the Accelerated failure time model, need to be adjusted to accommodate repairs and maintenance. For instance, we may use the number of repairs or maintenance actions or their cost as time-varying covariates. In this work we describe such models and demonstrate their application on real data. |
| reportyear |
2016 |
| RIV |
BB |
| num_of_auth |
1 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0252668 |
| cooperation |
| ARLID |
cav_un_auth*0296304 |
| institution |
MFF KU |
| name |
Matematicko-fyzikální fakulta KU |
| country |
CZ |
|
| confidential |
S |
| mrcbT16-e |
STATISTICSPROBABILITY |
| mrcbT16-j |
0.599 |
| mrcbT16-s |
0.528 |
| mrcbT16-4 |
Q2 |
| mrcbT16-B |
36.871 |
| mrcbT16-C |
44.309 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q3 |
| arlyear |
2015 |
| mrcbU14 |
84947492276 SCOPUS |
| mrcbU34 |
000365182300008 WOS |
| mrcbU63 |
cav_un_epca*0297199 Methodology and Computing in Applied Probability 1387-5841 1573-7713 Roč. 17 č. 4 2015 963 972 Springer |
|