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Variance components estimators in mixed linear model of incomplete measurement

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F07%3A00005251" target="_blank" >RIV/00216275:25410/07:00005251 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Odhad variančních komponent v lineárním regresním modelu neúplného měření vektorového parametru

  • Original language description

    The article deals with the variance components estimation in linear regression model with constraints. The maximum likelihood estimators for fixed effects parameters and variance components are derived and applied in the numerical study of uniformly accelerated movement.

  • Czech name

    Odhad variančních komponent v lineárním regresním modelu neúplného měření vektorového parametru

  • Czech description

    The article deals with the variance components estimation in linear regression model with constraints. The maximum likelihood estimators for fixed effects parameters and variance components are derived and applied in the numerical study of uniformly accelerated movement.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2007

  • 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

    3

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    5

  • Pages from-to

    17-21

  • UT code for WoS article

  • EID of the result in the Scopus database