| bibtype |
J -
Journal Article
|
| ARLID |
0444111 |
| utime |
20240103210100.9 |
| mtime |
20150528235959.9 |
| WOS |
000341466500030 |
| SCOPUS |
84907360474 |
| DOI |
10.1016/j.ress.2014.04.015 |
| title
(primary) (eng) |
On selection of optimal stochastic model for accelerated life testing |
| specification |
| page_count |
7 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0254891 |
| ISSN |
0951-8320 |
| title
|
Reliability Engineering & System Safety |
| volume_id |
131 |
| volume |
1 (2014) |
| page_num |
291-297 |
| publisher |
|
|
| keyword |
Reliability analysis |
| keyword |
Goodness-of-fit |
| keyword |
Bayes statistics |
| 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 |
| garant |
K |
| share |
50 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0257680 |
| name1 |
Timková |
| name2 |
Jana |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| institution |
UTIA-B |
| share |
50 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| abstract
(eng) |
This paper deals with the problem of proper lifetime model selection in the context of statistical reliability analysis. Namely, we consider regression models describing the dependence of failure intensities on a covariate, for instance a stressor. Testing the model fit is standardly based on the so-called martingale residuals. Their analysis has already been studied by many authors. Nevertheless, the Bayes approach to the problem is just developing. We shall present the Bayes procedure of stimation in several semi-parametric regression models of failure intensity. Then, our main concern is the Bayes construction of residual processes and goodness-of-fit tests basedon them. |
| reportyear |
2016 |
| RIV |
BB |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0246859 |
| confidential |
S |
| mrcbT16-e |
ENGINEERINGINDUSTRIAL|OPERATIONSRESEARCHMANAGEMENTSCIENCE |
| mrcbT16-j |
0.826 |
| mrcbT16-s |
1.419 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
73.593 |
| mrcbT16-C |
90.683 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q1 |
| arlyear |
2014 |
| mrcbU14 |
84907360474 SCOPUS |
| mrcbU34 |
000341466500030 WOS |
| mrcbU63 |
cav_un_epca*0254891 Reliability Engineering & System Safety 0951-8320 1879-0836 Roč. 131 č. 1 2014 291 297 Elsevier |
|