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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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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
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