Catch-per-unit-effort: which estimator is best?
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Data
2010-08
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Editor
Instituto Internacional de Ecologia
Resumo
In this paper we examine the accuracy and precision of three indices of catch-per-unit-effort (CPUE). We carried out simulations, generating catch data according to six probability distributions (normal, Poisson, lognormal, gamma, delta and negative binomial), three variance structures (constant, proportional to effort and proportional to the squared effort) and their magnitudes (tail weight). The Jackknife approach of the index is recommended, whenever catch is proportional to effort or even under small deviations from proportionality assumption, when a ratio estimator is to be applied and little is known about the underlying behaviour of variables, as is the case for most fishery studies.
Descrição
Palavras-chave
CPUE, Acurácia, Distribuições de probabilidade, Monte Carlo, Jackknife, Probability distributions, Accuracy
Citação
PETRERE JR., M.; GIACOMINI, H. C.; DE MARCO JR., P. Catch-per-unit-effort: which estimator is best?. Brazilian Journal of Biology, São Carlos, v. 70, n. 3, p. 483-491, Aug. 2010.