bibtype J - Journal Article
ARLID 0542338
utime 20240103225801.9
mtime 20210513235959.9
WOS 000662973300061
SCOPUS 85109086998
DOI 10.1214/21-EJS1850
title (primary) (eng) Testing axial symmetry by means of directional regression quantiles
specification
page_count 26 s.
media_type P
serial
ARLID cav_un_epca*0361941
ISSN 1935-7524
title Electronic Journal of Statistics
volume_id 15
volume 1 (2021)
page_num 2690-2715
publisher
name Institute of Mathematical Statistics
keyword axial symmetry
keyword exchangeability
keyword permutation symmetry
keyword symmetry around a line
keyword directional quantile
keyword quantile regression
author (primary)
ARLID cav_un_auth*0385823
name1 Hudecová
name2 Š.
country CZ
garant K
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
url http://library.utia.cas.cz/separaty/2021/SI/siman-0542338.pdf
source
url https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-15/issue-1/Testing-axial-symmetry-by-means-of-directional-regression-quantiles/10.1214/21-EJS1850.full
cas_special
project
project_id GA17-07384S
agency GA ČR
ARLID cav_un_auth*0345381
project
project_id GA21-05325S
agency GA ČR
ARLID cav_un_auth*0409039
abstract (eng) The article describes how directional quantiles can be useful for testing the null hypothesis that a multivariate distribution is symmetric around a line in a given direction. It also generalizes the proposed tests to residual distributions in a linear regression setup, discusses their use for statistical inference regarding equality of distributions, equality of scale, or exchangeability, and illustrates the achievements with carefully designed pictures and examples.
result_subspec WOS
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2022
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0320290
cooperation
ARLID cav_un_auth*0296001
name Univerzita Karlova v Praze, Matematicko-fyzikální fakulta
institution MFF UK
country CZ
confidential S
mrcbC86 n.a. Article Statistics Probability
mrcbC91 A
mrcbT16-e STATISTICSPROBABILITY
mrcbT16-j 1.562
mrcbT16-s 1.501
mrcbT16-D Q2
mrcbT16-E Q1
arlyear 2021
mrcbU14 85109086998 SCOPUS
mrcbU24 PUBMED
mrcbU34 000662973300061 WOS
mrcbU63 cav_un_epca*0361941 Electronic Journal of Statistics 1935-7524 1935-7524 Roč. 15 č. 1 2021 2690 2715 Institute of Mathematical Statistics