0546292 20230418204257.120211006235959.9 85089172121 000557113500001 10.1007/s00362-020-01201-4 18 s. P cav_un_epca*02551360932-5026625 (2021)2491-2508Springer axial symmetry halfspace symmetry exchangeability canonical correlation cav_un_auth*0385823 Hudecová Š. CZ K cav_un_auth*0266474 Šiman Miroslav UTIA-B Stochastická informatika 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/2021/SI/siman-0546292.pdf https://link.springer.com/article/10.1007/s00362-020-01201-4 cav_un_auth*0345381 GA17-07384S GA ČR Neparametrické (statistické) metody v moderní ekonometrii The article shows how some common measures of association between two random vectors may be used to test multivariate symmetry around a subspace (possibly up to a shift), which also permits testing exchangeability, axial symmetry, halfspace symmetry, and certain goodness-of-fit and equality-of-scale hypotheses. The resulting (parametric, nonparametric, permutation, and asymptotic) tests of the symmetry, consistent in the class of all elliptical distributions, are also illustrated with a few simulation and real data examples. WOS BA 10000 10100 10103 2022 RVO:67985556 http://hdl.handle.net/11104/0322886 cav_un_auth*0296001 Univerzita Karlova v Praze, Matematicko-fyzikální fakulta MFF UK CZ S 2 Article Statistics Probability C STATISTICS&PROBABILITY 1.715 0.932 7.1 0.00262 0.607 2019 50 1.058 33.57 1.47 459 Q1 1.318 117 Q3 47.6 Q3 Q2 0.93 Q1 47.6 2021 85089172121 SCOPUS PUBMED 000557113500001 WOS cav_un_epca*0255136 Statistical Papers 0932-5026 1613-9798 Roč. 62 č. 5 2021 2491 2508 Springer