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A random-effects hurdle model for predicting bycatch of endangered marine species

Cantoni, E.; Mills Flemming, J.; Welsh, A. H.


Understanding and reducing the incidence of accidental bycatch, particularly for vulnerable species such as sharks, is a major challenge for contemporary fisheries management worldwide. Bycatch data, most often collected by at-sea observers during fishing trips, are clustered by trip and/or vessel and typically involve a large number of zero counts and very few positive counts. Though hurdle models are very popular for count data with excess zeros, models for clustered forms have received...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
Source: The Annals of Applied Statistics
DOI: 10.1214/17-AOAS1074
Access Rights: Open Access


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