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Testing Axial Symmetry by Means of Directional Quantile Regression Coefficients

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F24%3A00602333" target="_blank" >RIV/67985556:_____/24:00602333 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-61853-6_13" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-61853-6_13</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-61853-6_13" target="_blank" >10.1007/978-3-031-61853-6_13</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing Axial Symmetry by Means of Directional Quantile Regression Coefficients

  • Original language description

    Testing axial symmetry given the axial direction has recently attracted considerable attention not only because of its direct practical applications, but also because of its wide implications for testing exchangeability, independence, goodness-of-fit or equality of scale. The contribution extends the family of recently developed tests of axial symmetry with new members that are based on coefficient estimates in directional quantile regression. The proposed testing tools are especially suitable for the situations not covered well by available competitors, i.e., in the linear regression context or when regression rank scores are not available. The performance of the new tests in such settings is illustrated with a few representative simulation experiments.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GA21-05325S" target="_blank" >GA21-05325S: Modern nonparametric methods in econometrics</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Recent Advances in Econometrics and Statistics

  • ISBN

    978-3-031-61852-9

  • Number of pages of the result

    19

  • Pages from-to

    241-259

  • Number of pages of the book

    618

  • Publisher name

    Springer

  • Place of publication

    Cham

  • UT code for WoS chapter