New approaches in choosing a suitable growth model: Mean Curvature and Arc Length Values
نویسندگان
چکیده
Logistic, Gompertz and Bertalanffy sigmoid growth models are widely used to study the dynamics of populations such as living plants, animals bacteria. Appropriate model selection parameter estimation very important these will be make practical inferences. Because different modeled biologically, regardless whether parameters definable or not. Applications that do not take into account identifiability can lead unreliable estimates misleading interpretations. Therefore, first most suitable should determined then defined. In this study, two new determination criteria mean curvature arc length proposed. For this, firstly, definition was given. Then, values data belonging species (kangal dog eucalyptus plant growth) were calculated. purpose, a comparison made with available in literature coefficient determination, error sum squares Akaike information criterion (AIC). It has been results obtained from accordance existing criteria. datasets, it seen fit ranking for both we proposed same. reason, is thought accepted
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ژورنال
عنوان ژورنال: Karadeniz fen bilimleri dergisi
سال: 2022
ISSN: ['1309-4726', '2564-7377']
DOI: https://doi.org/10.31466/kfbd.1105995