Free Access
Issue
Aquat. Living Resour.
Volume 17, Number 2, April-June 2004
Page(s) 175 - 183
DOI https://doi.org/10.1051/alr:2004016
Published online 15 April 2004
  • Agresti A., 1990, Categorical data analysis. Wiley Series in Probability and Mathematical Statistics. Wiley-Interscience Publication, New York.
  • Bayliff W., Holland K., 1986, Materials and methods for tagging tuna and billfishes, recovering the tags and handling the recapture data. FAO Fish. Tech. Pap. 279.
  • Berger J.O., Berry D.A., 1988, Statistical analysis and the illusion of objectivity. Am. Scient. 76, 159-165.
  • Bernier J., Parent E., Boreux J.-J., 2000, Statistique pour l'environnement. Traitement bayésien de l'incertitude. Ed. Tec & Doc., Paris.
  • Chen Y., Breen P.A., Andrew N.L., 2000, Impacts of outliers and mis-specification of priors on Bayesian fisheries-stock assessment. Can. J. Fish. Aquat. Sci. 57, 2293-2305. [CrossRef]
  • Fonteneau A., Diouf T., 1994, An efficient way of bait fishing for tunas recently developed in Senegal. Aquat. Living Resour. 7, 139-151. [CrossRef] [EDP Sciences]
  • Fried S.M., Hilborn R., 1988, Inseason forecasting of Bristol Bay, Alaska, sockeye salmon (Oncorhynchus nerka) abundance using Bayesian probability theory. Can. J. Fish. Aquat. Sci. 45, 850-855. [CrossRef]
  • Hallier J.P., Delgado de Molina A., 2000, Baitboat as a tuna aggregating device. Le canneur : un dispositif de concentration des thons. In: Le Gall J.-Y., Cayré P., Taquet M. (Eds.), Pêches thonières et dispositifs de concentration de poissons. Edn. Ifremer, Actes Colloq. 28, pp. 553-578.
  • Hallier J.P., Diouf T., Hervé A., Peignon C., 2001, Le Programme MAC : État des opérations et des analyses. Doc. multigraphié, CRODT, IRD, CNROP.
  • Hallier J.-P., Gaertner D., 2002, Comparative efficiency between Betyp tags and Conventional tags. ICCAT Coll. Vol. Sci. Pap. 54, 17-32.
  • Hilborn R., Liermann M., 1998, Standing on the shoulders of giants: learning from experience in fisheries. Rev. Fish. Biol. Fish. 8, 273-283. [CrossRef]
  • Hoenig J.M., Warren W.G., Stocker M. 1994, Bayesian and related approaches in fitting surplus production models. Can. J. Fish. Aquat. Sci. 51, 1823-1831.
  • Holbert D., Johnson J.C., 1989, Using prior information in fisheries management: A comparison of classical and Bayesian methods for estimating population parameters. Coast. Manage. 17, 333-347. [CrossRef]
  • Kearney R.E. 1982, Methods used by the South Pacific Commission for the survey and assessment of skipjack and baitfish resources. SPC, Tech. Rep. 7, 21-43.
  • Leonard T., Hsu J.S.J., 1999, Bayesian Methods. An analysis for statisticians and interdisciplinary researchers. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, New York.
  • Maunder M.N., 2001, A general framework for integrating the standardization of catch per unit of effort into stock assessment models. Can. J. Fish. Aquat. Sci. 58, 795-803. [CrossRef]
  • Maunder M.N., 2003, Paradigm shifts in fisheries stock assessment: from integrated analysis to Bayesian analysis and back again. Nat. Resour. Model. 16, 465-475. [CrossRef]
  • McAllister M.K., Kirkwood G.P., 1998, Bayesian stock assessment: a review and example application using the logistic model. ICES J. Mar. Sci. 55, 1031-1060. [CrossRef]
  • Meyer R., Millar R.B., 1999, BUGS in Bayesian stock assessments. Can. J. Fish. Aquat. Sci. 56, 1078-1086. [CrossRef]
  • Millar R.B., 2002, Reference priors for Bayesian fisheries models. Can. J. Fish. Aquat. Sci. 59, 1492-1502. [CrossRef]
  • Prince E.D., Ortiz M., Venizelos A., Rosenthal D.S., 2002, In-water conventional tagging techniques developed by the Cooperative Tagging Center for large, highly migratory species. Am. Fish. Symp. 30, 155-171.
  • Punt A.E., Hilborn R., 1997, Fisheries stock assessment and decision analysis: the Bayesian approach. Rev. Fish. Biol. Fish. 35-63.
  • Rivot E., Prevost E., 2002, Hierarchical Bayesian analysis of capture-mark-recapture data. Can. J. Fish. Aquat. Sci. 59, 1768-1784. [CrossRef]
  • Schweder T., 1998, Fisherian or Bayesian methods of integrating diverse statistical information? Fish. Res. 37, 61-75.
  • Vose D., 2001, Risk analysis. A quantitative guide. 2nd edition. John Wiley & Sons, New York, USA.
  • Walters C.J., Ludwig D., 1994, Calculation of Bayes posterior probability distributions for key population parameters. Can. J. Fish. Aquat. Sci. 51, 713-722. [CrossRef]

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