Performance of the Weibull individual growth model for weight at age data
保存先:
| 著者: | , , , |
|---|---|
| フォーマット: | artículo original |
| 状態: | Versión publicada |
| 出版日付: | 2025 |
| その他の書誌記述: | 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. |
| 国: | Portal de Revistas UCR |
| 機関: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| 言語: | Inglés |
| OAI Identifier: | oai:portal.revistas.ucr.ac.cr:article/171 |
| オンライン･アクセス: | https://revistas.ucr.ac.cr/index.php/rrbt/article/view/171 |
| キーワード: | 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 |