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Power of heteroskedasticity tests in presence of various types of skedastic function and sample size

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F17%3A43911599" target="_blank" >RIV/62156489:43110/17:43911599 - isvavai.cz</a>

  • Result on the web

    <a href="http://doi.org/10.1063/1.4992278" target="_blank" >http://doi.org/10.1063/1.4992278</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1063/1.4992278" target="_blank" >10.1063/1.4992278</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Power of heteroskedasticity tests in presence of various types of skedastic function and sample size

  • Original language description

    This paper presents evidence from Monte Carlo simulation aimed at exploring power of heteroskedasticity tests to verify presence of various patterns of non-constant variances in linear models. Three independent MC simulations were set up to investigate impact of error term variance changing with power of the proportionality factor (schemes 1 and 2) or in response to variance multiplication constant applied to a subset of data (scheme 3). Empirical power was shown to vary in accordance with the simulated form of the skedastic function and sample size. Tests mainly showed adequate power for the skedastic function in scheme 1 and to a lesser extent for variance function in scheme 3. On the other hand, skedastic functions simulated in scheme 2 were the most difficult to detect by most heteroskedasticity tests.

  • 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

    Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2016 (ICNAAM 2016)

  • ISBN

    978-0-7354-1538-6

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    4

  • Pages from-to

    &quot;nestrankovano&quot;

  • Publisher name

    American Institute of Physics (AIP)

  • Place of publication

    Melville

  • Event location

    Rhodos

  • Event date

    Sep 19, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000410159800126