Data/hora: 01/06/2024 03:27:25

Provedor de dados: | 5
País: | France
Título: | A bootstrap method for estimating bias and variance in statistical fisheries modelling frameworks using highly disparate datasets
Autores: | Elvarsson, B. P.; Taylor, L.; Trenkel, Verena; Kupca, V.; Stefansson, G.
Data: | 2014
Ano: | 2014
Palavras-chave: | Bootstrapping; Correlated data; Fish population dynamics; Non-linear models.
Resumo: | Statistical models of marine ecosystems use a variety of data sources to estimate parameters using composite or weighted likelihood functions with associated weighting issues and questions on how to obtain variance estimates. Regardless of the method used to obtain point estimates, a method is required for variance estimation. A bootstrap technique is introduced for the evaluation of uncertainty in such models, taking into account inherent spatial and temporal correlations in the datasets, which are commonly transferred as assumptions from a likelihood estimation procedure into Hessian-based variance estimation procedures. The technique is demonstrated on a real dataset and the effects of the number of bootstrap samples on estimation bias and variance estimates are studied. Although the modelling framework and bootstrap method can be applied to multispecies and multiarea models, for clarity the case study described is of a single-species and single-area model.
Tipo: | Text
Idioma: | Inglês

Identificador:

http://archimer.ifremer.fr/doc/00193/30459/29913.pdf

DOI:10.2989/1814232X.2014.897253

Editor: | Natl Inquiry Services Centre Pty Ltd
Relação: | http://archimer.ifremer.fr/doc/00193/30459/
Formato: | application/pdf
Fonte: | African Journal Of Marine Science (1814-232X) (Natl Inquiry Services Centre Pty Ltd), 2014 , Vol. 36 , N. 1 , P. 99-110
Fonte: | NISC (Pty) Ltd