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Testing symmetry around a subspace

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F21%3A00546292" target="_blank" >RIV/67985556:_____/21:00546292 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/21:10418869

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s00362-020-01201-4" target="_blank" >https://link.springer.com/article/10.1007/s00362-020-01201-4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00362-020-01201-4" target="_blank" >10.1007/s00362-020-01201-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing symmetry around a subspace

  • Original language description

    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.

  • 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

    Statistical Papers

  • ISSN

    0932-5026

  • e-ISSN

    1613-9798

  • Volume of the periodical

    62

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    18

  • Pages from-to

    2491-2508

  • UT code for WoS article

    000557113500001

  • EID of the result in the Scopus database

    2-s2.0-85089172121