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Residual and nonparametric bootstrap for estimating variability of robust regression estimators

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F19%3A00517237" target="_blank" >RIV/67985807:_____/19:00517237 - isvavai.cz</a>

  • Result on the web

    <a href="https://github.com/Veragin/Bootstrap" target="_blank" >https://github.com/Veragin/Bootstrap</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Residual and nonparametric bootstrap for estimating variability of robust regression estimators

  • Original language description

    The software in Matlab allows to compute two types of bootstrap for the least trimmed squares and least weighted squares estimators of parameters in linear regression. Particularly, residual bootstrap and nonparametric bootstrap are computed, which yields estimates of the covariance matrix of the two robust estimators. The method allows to compare the stability of the estimates and reveals to bring arguments in favor of the least weighted squares estimator over a variety of datasets.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA19-05704S" target="_blank" >GA19-05704S: FoNeCo: Analytical Foundations of Neurocomputing</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    Bootstrap Residual 1.0

  • Technical parameters

    Kód v Matlabu, spustitelný samostatně podle instrukcí v dokumentaci. Spuštění vyžaduje kód pro výpočet LTS a LWS odhadu. Dostupné pod licencí MIT.

  • Economical parameters

    Software umožňuje uživateli odhadnout varianční matici pro LTS a LWS odhady pomocí reziduálního bootstrapu. Software usnadňuje práci s těmito odhady, protože jiná metoda pro odhad jejich variability není dosud nikde implementovaná.

  • Owner IČO

    67985807

  • Owner name

    Ústav informatiky AV ČR, v. v. i.