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Using multinomial models to analyse data from Iberian sardine egg incubation experiments: a comparison with traditional techniques
Author(s) -
Miguel Bernal,
Leire Ibaibarriaga,
A. Lago de Lanzós,
Mike Lonergan,
C Hernández,
Concha Franco,
Inmaculada Rasines,
Luis Valdés,
David L. Borchers
Publication year - 2007
Publication title -
ices journal of marine science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.348
H-Index - 117
eISSN - 1095-9289
pISSN - 1054-3139
DOI - 10.1093/icesjms/fsm164
Subject(s) - sardine , multinomial distribution , incubation , multinomial logistic regression , fishery , biology , statistics , mathematics , fish <actinopterygii> , biochemistry
Bernal, M., Ibaibarriaga, L., Lago de Lanzós, A., Lonergan, M. E., Hernández, C., Franco, C., Rasines, I., Valdés, L., and Borchers, D. L. 2008. Using multinomial models to analyse data from Iberian sardine egg incubation experiments: a comparison with traditional techniques. – ICES Journal of Marine Science, 65: 51–59. Multinomial rather than traditional models were applied to improve data analysis of incubation experiments for Iberian sardine (Sardina pilchardus) eggs. Incubation experiments were carried out in 2002 in the Gulf of Cádiz, southwestern Spain, and data were taken from the literature for the Cantabrian Sea area. Rigorous review of the traditional models revealed shortcomings in the statistical framework for modelling the developmental progression of egg stages as well as a lack of transparency of the inherent assumptions. Multinomial model results show that egg stage duration varies for all stages, with stages 3 and 4 having the shortest duration. Comparison of the results between multinomial and traditional models shows that multinomial models provide improved insight into developmental mechanisms than that can be achieved using traditional models.

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