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Robustness of MDE under adaptive nonparametric density estimates

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00210460" target="_blank" >RIV/68407700:21340/13:00210460 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robustness of MDE under adaptive nonparametric density estimates

  • Original language description

    Minimum distance estimators are considered with respect to relative efficiency and robustness. Nonparametric density estimates such as histogram and kernel density estimates are presented. Stochastically equivalent histogram density estimate is introduced and implemented. The influence of various modifications of these nonparametric density estimates on the robustness of MDE is shown. The robustness of Power divergence estimates under the histogram, stochastically equivalent histogram and kernel densityestimates is examined in a simulation study. Results are compared with Rényi estimates which, by definition, do not require density estimates in their evaluations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    SPMS 2013 Stochastic and Physical Monitoring Systems Proceedings

  • ISBN

    978-80-01-05383-6

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    47-55

  • Publisher name

    ČVUT

  • Place of publication

    Praha

  • Event location

    Nebřich

  • Event date

    Jun 24, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article