0518370 20241106135803.720191220235959.9 85076422943 000501098300001 10.1080/10485252.2019.1700255 16 s. P cav_un_epca*02556301048-5252321 (2020)93-108Taylor & Francis interdirection multivariate rank multivariate sign signed-rank test robustness cav_un_auth*0385823 Hudecová Š. CZ K cav_un_auth*0385824 Klicnarová Jana UTIA-B Oddělení stochastické informatiky Department of Stochastic Informatics SI SI Department of Stochastic Informatics CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0266474 Šiman Miroslav UTIA-B Oddělení stochastické informatiky Department of Stochastic Informatics SI SI Department of Stochastic Informatics CZ Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/SI/siman-0518370.pdf https://www.tandfonline.com/doi/full/10.1080/10485252.2019.1700255 cav_un_auth*0345381 GA17-07384S GA ČR cav_un_auth*0361132 GJ18-01781Y GA ČR CZ 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. WOS BA 10000 10100 10103 2021 4 A sml 4as 20241106135803.7 RVO:67985556 http://hdl.handle.net/11104/0304157 cav_un_auth*0331329 Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic CZ S Publishing Agreement 20191130 3+4 Article Statistics Probability C STATISTICS&PROBABILITY 1.442 0.244 10.2 0.00155 0.733 1149 46 0.735 35.27 0.99 142 Q2 1.143 41 Q3 47.574 38 Q3 Q2 0.45 Q3 38 2020 Soubory v repozitáři: siman-0518370-AcceptedAuthorPublishingAgreement.pdf 85076422943 SCOPUS PUBMED 000501098300001 WOS cav_un_epca*0255630 Journal of Nonparametric Statistics 1048-5252 1029-0311 Roč. 32 č. 1 2020 93 108 Taylor & Francis