Performance of the Weibull individual growth model for weight at age data

 

Tallennettuna:
Bibliografiset tiedot
Tekijät: Villa-Diharce, Enrique, Ramírez-Félix, Evlin A., García-Borbón, Juan Antonio, Cisneros-Mata, Miguel Á.
Aineistotyyppi: artículo original
Tila:Versión publicada
Julkaisupäivä:2025
Kuvaus:Introduction: Knowledge of different functions associated with a probability distribution, as well as their properties, can be translated into functions that provide information about different characteristics of the growth process under study. Objectives: To analyze the relationship between individual growth models and the cumulative distribution functions of continuous random variables. Methods: We compare the flexibility and goodness of fit of the Weibull-type model against the von Bertalanffy weight growth model. We fit these two growth models into two very different sets of age-weight data taken from the literature; the first comprises 22 pairs of Pacific halibut mean weight at age, and the second 900 pairs of striped bass weight-age-data. Results: The Weibull-type growth model had greater flexibility and neglected less information available in the data sets than the von Bertalanffy model. Conclusions: The Weibull model, derived from cumulative probability distribution, is a good choice to fit weight-at-age data as it is more flexible than the commonly used von Bertalanffy model.
Maa:Portal de Revistas UCR
Organisaatio:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Kieli:Inglés
OAI Identifier:oai:portal.revistas.ucr.ac.cr:article/171
Linkit:https://revistas.ucr.ac.cr/index.php/rrbt/article/view/171
Sanahaku:cumulative distribution function
age-weight relationship
model comparison
Weibull growth model
von Bertalanffy growth model
función de distribución acumulada
relación edad-peso
comparación de modelos
modelo de crecimiento de Weibull
modelo de crecimiento de von Bertalanffy