bibtype |
J -
Journal Article
|
ARLID |
0500232 |
utime |
20240103221409.2 |
mtime |
20190121235959.9 |
title
(primary) (eng) |
Models of mixtures of hazard rates with application to reliability analysis |
specification |
page_count |
12 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0296652 |
ISSN |
1210-8022 |
title
|
Informační bulletin České statistické společnosti |
volume_id |
2018 |
volume |
2 (2018) |
page_num |
1-12 |
publisher |
name |
Česká statistická společnost |
|
|
keyword |
hazard rate |
keyword |
reliability analysis |
keyword |
Weibull distribution |
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 |
project |
project_id |
GA18-02739S |
agency |
GA ČR |
ARLID |
cav_un_auth*0363963 |
|
abstract
(eng) |
The objective of this contribution is to present and explore some methods of construction and estimation of models based on mixtures of hazard rates. The goal is to demonstrate their usefulness and applicability with the aid of both artificial and real examples. |
result_subspec |
JINE |
RIV |
BB |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10103 |
reportyear |
2019 |
num_of_auth |
1 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0293320 |
confidential |
S |
arlyear |
2018 |
mrcbU14 |
SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
mrcbU63 |
cav_un_epca*0296652 Informační bulletin České statistické společnosti 1210-8022 Roč. 2018 č. 2 2018 1 12 Česká statistická společnost |
|