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Parametric and Non-Parametric Regression Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00390547" target="_blank" >RIV/67985807:_____/13:00390547 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parametric and Non-Parametric Regression Models

  • Original language description

    In this chapter, we summarize developments of statistical models for parametric, non-parametric and semi-parametric growth curve modeling. We contrast the three approaches both from the technical and also from an user?s point of view. On several examplesof classical nonlinear growth curve models, we show nonlinear regression approach to the problem and compare it to the modern (semi-parametric) regression alternatives. We formulate the models somewhat more generally than just growth curve models, allowing for inclusion of covariates which are important in many anthropological problems, where for instance, stability of certain growth parameters across values of selected covariate/covariates is tested.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Auxology. Studying Human Growth and Development

  • ISBN

    978-3-510-65278-5

  • Number of pages of the result

    6

  • Pages from-to

    194-199

  • Number of pages of the book

    324

  • Publisher name

    E. Schweizerbart'sche Verlagsbuchhandlung

  • Place of publication

    Stuttgart

  • UT code for WoS chapter