| bibtype |
J -
Journal Article
|
| ARLID |
0574582 |
| utime |
20240402214310.2 |
| mtime |
20230823235959.9 |
| SCOPUS |
85145280328 |
| WOS |
000902222200001 |
| DOI |
10.1080/10485252.2022.2159399 |
| title
(primary) (eng) |
Testing axial symmetry by means of integrated rank scores |
| specification |
| page_count |
17 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0255630 |
| ISSN |
1048-5252 |
| title
|
Journal of Nonparametric Statistics |
| volume_id |
35 |
| volume |
3 (2023) |
| page_num |
474-490 |
| publisher |
|
|
| keyword |
axial symmetry |
| keyword |
symmetry around a line |
| keyword |
exchangeability |
| keyword |
directional quantile |
| keyword |
quantile regression |
| author
(primary) |
| ARLID |
cav_un_auth*0385823 |
| name1 |
Hudecová |
| name2 |
Š. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0266474 |
| name1 |
Šiman |
| name2 |
Miroslav |
| institution |
UTIA-B |
| full_dept (cz) |
Stochastická informatika |
| full_dept |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department |
SI |
| full_dept |
Department of Stochastic Informatics |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| project |
| project_id |
GA21-05325S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0409039 |
|
| project |
| project_id |
GF22-01639K |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0440862 |
|
| abstract
(eng) |
The article addresses the recently emerging inferential problem of testing axial symmetry up to a shift, which is useful even for testing certain hypotheses of exchangeability, independence, goodness-of-fit or equality of scale. In particular, it introduces a new test of axial symmetry based on integrated rank scores for directional quantile regression. The test outperforms existing competitors in terms of size, power, robustness, moment conditions or computational feasibility. All that is illustrated with a series of simulated examples. |
| result_subspec |
WOS |
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2024 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0344805 |
| confidential |
S |
| mrcbC91 |
C |
| mrcbT16-e |
STATISTICSPROBABILITY |
| mrcbT16-j |
0.676 |
| mrcbT16-s |
0.44 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q3 |
| arlyear |
2023 |
| mrcbU14 |
85145280328 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000902222200001 WOS |
| mrcbU63 |
cav_un_epca*0255630 Journal of Nonparametric Statistics Roč. 35 č. 3 2023 474 490 1048-5252 1029-0311 Taylor & Francis |
|