A random-effects hurdle model for predicting bycatch of endangered marine species
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]
|Collections||ANU Research Publications|
|Source:||The Annals of Applied Statistics|
|Access Rights:||Open Access|
|AOAS1074.pdf||Article||293.02 kB||Adobe PDF|
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