Bayesian hierarchical model used to analyze regression between fish body size and scale size: application to rare fish species Zingel asperReport as inadecuate




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1 MISTEA - Mathématiques, Informatique et STatistique pour l-Environnement et l-Agronomie 2 IMBE - Institut méditerranéen de biodiversité et d-écologie marine et continentale

Abstract : Back-calculation allows to increase available data on fish growth. The accuracy of back-calculation models is of paramount importance for growth analysis. Frequentist and Bayesian hierarchical approaches were used for regression between fish body size and scale size for the rare fish species Zingel asper. The Bayesian approach permits more reliable estimation of back-calculated size, taking into account biological information and cohort variability. This method greatly improves estimation of back-calculated length when sampling is uneven and-or small.

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Keywords : hierarchical Bayes model back-calculation fish scales zingel asper fish farming mathematical method

Mots-clés : pisciculture statistique appliquée méthode mathématique approche bayésienne poisson





Author: Bénédicte Fontez Nguyen The - L. Cavalli -

Source: https://hal.archives-ouvertes.fr/



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