| bibtype |
J -
Journal Article
|
| ARLID |
0498334 |
| utime |
20240903115850.1 |
| mtime |
20181217235959.9 |
| SCOPUS |
85058974512 |
| WOS |
000454282000074 |
| DOI |
10.3390/e20120966 |
| title
(primary) (eng) |
Likelihood ratio testing under measurement errors |
| specification |
| page_count |
9 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0290017 |
| ISSN |
1099-4300 |
| title
|
Entropy |
| volume_id |
20 |
| publisher |
|
|
| keyword |
measurement errors |
| keyword |
robust testing |
| keyword |
two-sample test |
| keyword |
robust optimization |
| keyword |
information theory |
| author
(primary) |
| ARLID |
cav_un_auth*0255501 |
| share |
33% |
| name1 |
Broniatowski |
| name2 |
M. |
| country |
FR |
|
| author
|
| ARLID |
cav_un_auth*0368969 |
| full_dept |
Department of Stochastic Informatics |
| share |
33% |
| name1 |
Jurečková |
| name2 |
Jana |
| institution |
UTIA-B |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0263018 |
| full_dept |
Department of Machine Learning |
| share |
33% |
| name1 |
Kalina |
| name2 |
Jan |
| institution |
UIVT-O |
| full_dept (cz) |
Oddělení strojového učení |
| full_dept |
Department of Machine Learning |
| fullinstit |
Ústav informatiky AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0370462 |
| project_id |
GA18-01137S |
| agency |
GA ČR |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0345802 |
| project_id |
GA17-01251S |
| agency |
GA ČR |
|
| abstract
(eng) |
The likelihood ratio test of a simple null hypothesis against a simple alternative is considered in the situation that observations are mismeasured due to the presence of measurement errors. |
| result_subspec |
WOS |
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2019 |
| num_of_auth |
3 |
| mrcbC47 |
UIVT-O 10000 10100 10101 |
| mrcbC52 |
4 R hod 4rh 20231122143650.1 |
| mrcbC55 |
UIVT-O BA |
| inst_support |
RVO:67985556 |
| inst_support |
RVO:67985807 |
| permalink |
http://hdl.handle.net/11104/0291528 |
| mrcbC61 |
1 |
| mrcbC64 |
1 Department of Machine Learning UIVT-O 10200 COMPUTER SCIENCE, THEORY & METHODS |
| confidential |
S |
| article_num |
966 |
| mrcbC86 |
2 Article Physics Multidisciplinary |
| mrcbT16-e |
PHYSICSMULTIDISCIPLINARY |
| mrcbT16-j |
0.516 |
| mrcbT16-s |
0.524 |
| mrcbT16-B |
58.9 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q3 |
| arlyear |
2018 |
| mrcbTft |
\nSoubory v repozitáři: a0498334.pdf |
| mrcbU14 |
85058974512 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000454282000074 WOS |
| mrcbU63 |
cav_un_epca*0290017 Entropy 1099-4300 1099-4300 Roč. 20 č. 12 2018 MDPI ONLINE |
|