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Averaged regression quantiles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F14%3A%230001201" target="_blank" >RIV/46747885:24510/14:#0001201 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-02651-0_12" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-02651-0_12</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-02651-0" target="_blank" >10.1007/978-3-319-02651-0</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Averaged regression quantiles

  • Original language description

    The result showes that weighted averaged regression quantile in the linear regression model, with regressor components as weights, is monotone in (0, 1), and is asymptotically equivalent to the quantile of the location model. This relation remains true under the local heteroscedasticity of the model errors. As such, the averaged regression quantile provides various scale statistics, used for studentization and standardization in linear model, and an estimate of quantile density based on regression data.The properties are numerically illustrated.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP209%2F10%2F2045" target="_blank" >GAP209/10/2045: Homogeneous and non-homogeneous Poisson process models for extremes in climate change studies</a><br>

  • Continuities

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

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Contemporary Developments in Statistical Theory

  • ISBN

    9783319026503

  • Number of pages of the result

    14

  • Pages from-to

    203-216

  • Number of pages of the book

    396

  • Publisher name

    Springer

  • Place of publication

    Switzerland

  • UT code for WoS chapter