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Comparison of algorithms for nonlinear regression estimates

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F04%3A00000026" target="_blank" >RIV/61988987:17310/04:00000026 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of algorithms for nonlinear regression estimates

  • Original language description

    This paper deals with the use of some stochastic algorithms for solving the problem of global optimization of nonlinear regression models. The algorithms were applied to estimating the parameters of eight nonlinear regression models taken from the Nonl

  • Czech name

    Porovnání algoritmů pro odhad parametrů nelineárních regresních modelů

  • Czech description

    Článek se zabývá využitím stochastických algoritmů v odhadu parametrů nelineárních regresních modelů. Algoritmy byly testovány na osmi obtížných úlohách z databáze Nonlinear Least Squares Datasets of the National Institute of Standards and Technology. V

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    COMPSTAT 2004, Proceedings in Computational Statistics

  • ISBN

    3-7908-1554-3

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    1917-1924

  • Publisher name

    Physica-Verlag

  • Place of publication

    Heidelberg, New York

  • Event location

    Prague

  • Event date

    Aug 23, 2004

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article