Abstract
A nonparametric model for estimating mesh size selectivity is presented based on a multinomial likelihood for sampling from a mixture of discrete size classes. No functional form for the selectivity curve is assumed when comparing the relative selectivity of standard and experimental mesh codends. Auxiliary information from the size distribution of fish gilled in the experimental mesh codend is used to identify when the selectivity approaches 1. Analysis is illustrated for Dover sole ( Microstomus pacificus) caught in an alternate haul study. Parametric methods of estimating selective curves based on logistic functions showed tendencies for systematic bias in the tail regions as well as possible errors in the mid-range (approximately 50%) of selectivity.
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