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Regression Quantile and Averaged Regression Quantile Processes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10365815" target="_blank" >RIV/00216208:11320/17:10365815 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-51313-3_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-51313-3_3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-51313-3_3" target="_blank" >10.1007/978-3-319-51313-3_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Regression Quantile and Averaged Regression Quantile Processes

  • Original language description

    We consider the averaged version (B) over tilde (n)(alpha) of the two-step regression alpha-quantile, introduced in [6] and studied in [7]. We show that it is asymptotically equivalent to the averaged version (B) over bar (n)(alpha) of ordinary regression quantile and also study the finite-sample relation of (B) over tilde (n)(alpha) to (B) over tilde (n)(alpha). An interest of its own has the fact that the vector of slope components of the regression alpha-quantile coincides with a particular R-estimator of the slope components of regression parameter. Under a finite n, the stochastic processes (B) over tilde (n) = {(B) over tilde (n)(alpha) : 0 &lt; alpha 1} and (B) over tilde (n) = {(B) over bar (n)(alpha) : 0 &lt; alpha &lt; 1} differ only by a drift.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Analytical Methods in Statistics

  • ISBN

    978-3-319-51312-6

  • ISSN

    2194-1009

  • e-ISSN

    neuvedeno

  • Number of pages

    10

  • Pages from-to

    53-62

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Prague

  • Event date

    Nov 10, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000407479100003