A parametric multinomial model for size selection in alternate-haul experiments

A parametric model for estimating mesh size selectivity is derived from the maximum likelihood estimation method of Skalski and Perez-Comas (1993). It is based on a multinomial likelihood for sampling from a mixture of discrete size classes, and assumes logistic curves to describe relative size sele...

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Bibliographic Details
Published in:Fisheries research 1996-06, Vol.27 (1), p.113-129
Main Authors: Perez-Comas, JoséA., Skalski, John R.
Format: Article
Language:English
Subjects:
Alternate-haul
Codend
DIMENSION
DIMENSIONS
Eopsetta jordani
FILET DE PECHE
FISHING NETS
Haddock
Logistic selection
Marine
MATHEMATICAL MODELS
Maximum likelihood
MELANOGRAMMUS
Melanogrammus aeglefinus
MODELE MATHEMATIQUE
MODELOS MATEMATICOS
Multinomial model
Petrale sole
POLLACHIUS VIRENS
Pollock
REDES DE PESCA
RENDEMENT
RENDIMIENTO
Selectivity
Theragra chalcogramma
Trawl
YIELDS
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Summary:A parametric model for estimating mesh size selectivity is derived from the maximum likelihood estimation method of Skalski and Perez-Comas (1993). It is based on a multinomial likelihood for sampling from a mixture of discrete size classes, and assumes logistic curves to describe relative size selectivity. Analysis was illustrated for haddock ( Melanogrammus aeglefinus), pollock ( Theragra chalcogramma) and petrale sole ( Eopsetta jordani) caught in alternate-haul experiments. Results were contrasted with those from three other methods (Pope et al., 1975; Simpson, 1989; Millar, 1992). For the three examples, the performance of the multinomial method was statistically acceptable and similar to that of the Millar method. Possible sources of bias due to departures from the model assumptions are discussed.
ISSN:0165-7836
1872-6763
DOI:10.1016/0165-7836(95)00456-4