Investigating growth models with linearization domain analysis and residual analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F22%3A39919895" target="_blank" >RIV/00216275:25530/22:39919895 - isvavai.cz</a>
Result on the web
<a href="https://academic.oup.com/jigpal/advance-article-abstract/doi/10.1093/jigpal/jzac036/6535732?redirectedFrom=fulltext" target="_blank" >https://academic.oup.com/jigpal/advance-article-abstract/doi/10.1093/jigpal/jzac036/6535732?redirectedFrom=fulltext</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/jigpal/jzac036" target="_blank" >10.1093/jigpal/jzac036</a>
Alternative languages
Result language
angličtina
Original language name
Investigating growth models with linearization domain analysis and residual analysis
Original language description
Growth modelling is of interest to scientists in various disciplines. In our article, we will collect 17 models designed for growth modelling, appraise these models and contribute to the discussion of their applicability. The merit of the paper lies in studying the convergence properties of nonlinear regression in selected models. Our studies will be performed mainly concerning the quality of the obtained estimates, which are closely related to the intrinsic curvature of the model according to Bates and Watts. This curvature determines the size of the linearization domains. Only if the initial solution is in this domain, then the convergence of the estimate in nonlinear regression is guaranteed. The primary goal is to design a methodology for selecting a growth model. We will demonstrate fruitfulness of our methodology on the weight measurements of 10 calves under 25 months of age from cowsheds in the village Zaluzi in the Czech Republic. Estimated parameters of growth curves, sizes of linearization domain, calculated residues and coefficients of determination indices will be the subject of discussion.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Logic Journal of the IGPL
ISSN
1367-0751
e-ISSN
1368-9894
Volume of the periodical
2022
Issue of the periodical within the volume
Neuveden
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
nestrankovano
UT code for WoS article
000761379500001
EID of the result in the Scopus database
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