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Empirical comparison of robustness and efficiency for divergence estimators

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F10%3A00175973" target="_blank" >RIV/68407700:21340/10:00175973 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Empirical comparison of robustness and efficiency for divergence estimators

  • Original language description

    We introduce minimum Rényi pseudodistance estimators employing adjusting parameter alpha. We study and compare some general properties of these estimators for different alpha such as influence curves, robustness and empirical efficiency. We mainly focuson the normal location and scale parameter estimation. In the second part we numerically compare robust properties of minimum Rényi pseudodistance estimators for different parameters with minimum Hellinger distance estimators and some other estimators. This comparisons are performed within the normal family under different level of contaminations.

  • 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

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Forum Statisticum Slovacum

  • ISSN

    1336-7420

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    6

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database