| bibtype |
J -
Journal Article
|
| ARLID |
0518370 |
| utime |
20241106135803.7 |
| mtime |
20191220235959.9 |
| SCOPUS |
85076422943 |
| WOS |
000501098300001 |
| DOI |
10.1080/10485252.2019.1700255 |
| title
(primary) (eng) |
Incomplete interdirections and lift-interdirections |
| specification |
| page_count |
16 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0255630 |
| ISSN |
1048-5252 |
| title
|
Journal of Nonparametric Statistics |
| volume_id |
32 |
| volume |
1 (2020) |
| page_num |
93-108 |
| publisher |
|
|
| keyword |
interdirection |
| keyword |
multivariate rank |
| keyword |
multivariate sign |
| keyword |
signed-rank test |
| keyword |
robustness |
| author
(primary) |
| ARLID |
cav_un_auth*0385823 |
| name1 |
Hudecová |
| name2 |
Š. |
| country |
CZ |
| garant |
K |
|
| author
|
| ARLID |
cav_un_auth*0385824 |
| name1 |
Klicnarová |
| name2 |
Jana |
| institution |
UTIA-B |
| full_dept (cz) |
Oddělení stochastické informatiky |
| 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. |
|
| author
|
| ARLID |
cav_un_auth*0266474 |
| name1 |
Šiman |
| name2 |
Miroslav |
| institution |
UTIA-B |
| full_dept (cz) |
Oddělení stochastické informatiky |
| 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 |
| ARLID |
cav_un_auth*0345381 |
| project_id |
GA17-07384S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0361132 |
| project_id |
GJ18-01781Y |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
The article presents, discusses, and explores incomplete variants of interdirections, lift-interdirections, and symmetrised lift-interdirections (with a few incomplete designs). Although they are easier to compute in high-dimensional spaces than the originals, they can still replace them in many optimal statistical procedures based on signs and ranks without significantly changing their properties. This is proved theoretically and confirmed empirically in a small simulation study dealing with the canonical examples of multivariate sign and signed-rank one-sample tests applied to high-dimensional data sets. |
| result_subspec |
WOS |
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2021 |
| mrcbC52 |
4 A sml 4as 20241106135803.7 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0304157 |
| cooperation |
| ARLID |
cav_un_auth*0331329 |
| name |
Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic |
| country |
CZ |
|
| confidential |
S |
| contract |
| name |
Publishing Agreement |
| date |
20191130 |
|
| mrcbC91 |
C |
| mrcbT16-e |
STATISTICSPROBABILITY |
| mrcbT16-i |
0.00155 |
| mrcbT16-j |
0.733 |
| mrcbT16-s |
0.735 |
| mrcbT16-B |
47.574 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q2 |
| arlyear |
2020 |
| mrcbTft |
\nSoubory v repozitáři: siman-0518370-AcceptedAuthorPublishingAgreement.pdf |
| mrcbU14 |
85076422943 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000501098300001 WOS |
| mrcbU63 |
cav_un_epca*0255630 Journal of Nonparametric Statistics 1048-5252 1029-0311 Roč. 32 č. 1 2020 93 108 Taylor & Francis |
|