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Application of mixed logistic model in small area estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F14%3A00222919" target="_blank" >RIV/68407700:21340/14:00222919 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of mixed logistic model in small area estimation

  • Original language description

    Small area estimation (SAE) is in need of reliable methods for statistical inference. Direct estimation from particular small areas might not be feasible and models that borrow strength from other areas are used. For binary data, a logistic model is oneof the most used in practice. In this work, the logistic mixed model is introduced. Then, parameter estimation techniques based on Laplace approximation of likelihood are outlined. The pseudo empirical best linear unbiased predictors (pseudo?EBLUP) of area parameters are derived. The random area effects logistic model is compared to a logistic model with area effects treated as fixed in a set of Monte Carlo simulations. Performance of both models is discussed. Finally, the results are compared to the corresponding results of a Fay?Herriot model.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • 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 Stochastic and Physical Monitoring Systems 2014

  • ISBN

    978-80-01-05616-5

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    193-202

  • Publisher name

    ČVUT v Praze

  • Place of publication

    Praha

  • Event location

    Malá Skála

  • Event date

    Jun 23, 2014

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article