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Testing axial symmetry by means of directional regression quantiles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00542338" target="_blank" >RIV/67985556:_____/21:00542338 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/21:10435288

  • Result on the web

    <a href="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" target="_blank" >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</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1214/21-EJS1850" target="_blank" >10.1214/21-EJS1850</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing axial symmetry by means of directional regression quantiles

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Electronic Journal of Statistics

  • ISSN

    1935-7524

  • e-ISSN

    1935-7524

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    26

  • Pages from-to

    2690-2715

  • UT code for WoS article

    000662973300061

  • EID of the result in the Scopus database

    2-s2.0-85109086998