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On generalized elliptical quantiles in the nonlinear quantile regression setup

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10314011" target="_blank" >RIV/00216208:11320/15:10314011 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985556:_____/15:00434510

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s11749-014-0405-3" target="_blank" >http://dx.doi.org/10.1007/s11749-014-0405-3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11749-014-0405-3" target="_blank" >10.1007/s11749-014-0405-3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On generalized elliptical quantiles in the nonlinear quantile regression setup

  • Original language description

    Inspired by nonlinear quantile regression, the article introduces, investigates, discusses, and illustrates a new concept of generalized elliptical location quantiles. They may require less stringent moment assumptions, be less sensitive to outliers, beless rigid, employ more a priori information regarding the location of the distribution, and have higher potential for various regression generalizations than their common elliptical predecessor defined in the convex optimization framework by means of standard linear quantile regression. Furthermore, they still include an equivalent of their predecessor as a special case and inherit most of its favorable features such as the probability interpretation, natural equivariance properties, and good behaviorfor elliptical and symmetric distributions, which is demonstrated both by theoretical results and data examples with convincing graphical output. On the other hand, the new elliptical quantiles need not always be uniquely defined and they

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-07234S" target="_blank" >GA14-07234S: Multivariate regression quantiles in econometrics</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Test

  • ISSN

    1133-0686

  • e-ISSN

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    ES - SPAIN

  • Number of pages

    16

  • Pages from-to

    249-264

  • UT code for WoS article

    000354714100004

  • EID of the result in the Scopus database

    2-s2.0-84929837079