Using nonlinear hierarchical models for analyzing annulus-based size-at-age data

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Abstract:

Size-at-age data for fish (derived from otoliths or other structures) are valuable but statistically messy. The data are typically serially correlated and unbalanced, with both time-independent and time-varying covariates. Appropriate growth models are typically nonlinear, with an unknown functional form. We recommend the use of nonlinear hierarchical models for the analysis of such data. We illustrate the use of these methods by applying the recently introduced SAS procedure NLMIXED (SAS Institute Inc., Cary, N.C.) to otolith-based estimated standard lengths of Utah chub (Gila atraria) collected in four locations with predators and four locations without predators.

Les données de taille en fonction de l'âge chez les poissons (calculées à partir des otolithes ou d'autres structures) sont utiles, mais difficiles à traiter statistiquement. Ces données sont typiquement déséquilibrées et en corrélation séquentielle et elles possèdent des covariables dépendantes et indépendantes du temps. Les modèles de croissance qui leur conviennent sont généralement non linéaires et leur forme fonctionnelle est inconnue. Nous recommandons l'utilisation de modèles hiérarchiques non linéaires pour ces données. Nous en illustrons l'usage en appliquant la procédure récemment introduite de NLMIXED de SAS (SAS Institute Inc., Cary, N.C.) à des longueurs standard estimées à partir des otolithes chez des ménés de l'Utah (Gila atraria) provenant de quatre sites sans prédateurs et de quatre sites avec prédateurs.[Traduit par la Rédaction]

Document Type: Research Article

Publication date: September 1, 2002

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  • Published continuously since 1901 (under various titles), this monthly journal is the primary publishing vehicle for the multidisciplinary field of aquatic sciences. It publishes perspectives (syntheses, critiques, and re-evaluations), discussions (comments and replies), articles, and rapid communications, relating to current research on cells, organisms, populations, ecosystems, or processes that affect aquatic systems. The journal seeks to amplify, modify, question, or redirect accumulated knowledge in the field of fisheries and aquatic science. Occasional supplements are dedicated to single topics or to proceedings of international symposia.
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