Parameter estimation in modelling the dynamics of fish stock biomass: Are currently used observation-error estimators reliable?

Canadian Journal of Fisheries and Aquatic Sciences

Volumn 55, Issue 3, 1998, Pages 749-760

  Chen, Y ^a,b   Andrew, N ^a  

^a NSW Fisheries Research Institute   (Australia)

^b MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; FISH STOCKS; PARAMETER ESTIMATION; PRODUCTION MODEL;

EID: 0031853459     PISSN: 0706652X     EISSN: None     Source Type: Journal    
DOI: 10.1139/f97-270     Document Type: Article

References (24)

1. Butterworth, D.S., and Andrew, P.A. 1984. Dynamic catch-effort models for the hake stocks in ICSEAF Divisions 1.3 to 2.2. Int. Comm. Southeast All. Fish. Sel. Pap. 11: 29-58.
2. Chen, Y., and Paloheimo, J.E. 1995. A robust regression analysis of recruitment in fisheries. Can. J. Fish. Aquat. Sci. 52: 993-1006.
3. Chen, Y., Jackson, D.A., and Paloheimo, J.E. 1994. Robust regression analysis of fisheries data. Can. J. Fish. Aquat. Sci. 51: 1420-1429.
4. Fox, W.W. 1975. Fitting the generalized stock production model by least-squares and equilibrium approximation. Fish. Bull. U.S. 73: 23-37.
5. Gulland, J.A. 1961. Fishing and the stocks of fish at Iceland. Fish. Invest. Min. Agric. Fish. Food U.K. No. 23.
6. Hilborn, R. 1979. Comparison of fisheries control systems that utilize catch and effort data. J. Fish. Res. Board Can. 36: 1477-1489.
7. Hilborn, R., and Walters, C.J. 1992. Quantitative fisheries stock assessment: choice, dynamics, and uncertainty. Chapman & Hall, New York.
8. Kinas, P.G. 1996. Bayesian fishery stock assessment and decision making using adaptive importance sampling. Can. J. Fish. Aquat. Sci. 53: 414-423.
9. Ludwig, D., and Walters, C.J. 1985. Are age-structured models appropriate for catch-effort data? Can. J. Fish. Aquat. Sci. 42: 1066-1072.
10. Ludwig, D., and Walters, C.J. 1989. A robust method for parameter estimation from catch and effort data. Can. J. Fish. Aquat. Sci. 46: 137-144.
11. Ludwig, D., C.J. Walters, and Cooke, J.G. 1988. Comparison of two models and two estimation methods for catch and effort data. Nat. Resour. Modell. 2: 457-498.
12. Neider, J.A., and Mead, R. 1965. A simplex method for function minimization. Comput. J. 7: 308-313.
13. Paloheimo, J.E., and Y. Chen. 1996. Estimating fish mortalities and cohort sizes. Can. J. Fish. Aquat. Sci. 53: 1572-1579.
14. Polacheck, T., Hilborn, R., and Punt, A.E. 1993. Fitting surplus production models: comparing methods and measuring uncertainty. Can. J. Fish. Aquat. Sci. 50: 2597-2607.
15. Press, W.H., Flannery, B.P., Teukolsky, S.A., and Vetterling, W.T. 1992. Numerical recipes: the art of scientific computing. Cambridge University Press, Cambridge, U.K.
16. Punt, A.E. 1988. Model selection for the dynamics of Southern African hake resources. Rep. Benguela Ecol. Progm. S. Afr. No. 15.
17. Punt, A.E. 1992. Management procedures for Cape hake and baleen whale resources. Rep. Benguela Ecol. Progm. S. Afr. No. 23.
18. Reed, W.J., and Simons, C.M. 1996. Analyzing catch-effort data by means of the Kalman filter. Can. J. Fish. Aquat. Sci. 53: 2157-2166.
19. Ricker, W.E. 1975. Computation and interpretation of biological statistics offish populations. Bull. Fish. Res. Board Can. No. 191.
20. Rousseeuw, P.J., and Leroy, A.M. 1987. Robust regression and outlier detection. John Wiley & Sons Inc., New York.
21. Schnute, J. 1977. Improved estimates from the Schaefer production model: theoretical consideration. J. Fish. Res. Board Can. 34: 583-603.
22. Schnute, J. 1989. The influence of statistical error on stock assessment: illustrations from Schaefer's model. In Effects of ocean variability on recruitment and an evaluation of parameters used in stock assessment models. Edited by R.J. Beamish and G.A. McFarlane. Can. Spec. Publ. Fish. Aquat. Sci. No. 108. pp. 101-109.
23. Sullivan, P. 1992. A Kalman filter approach to catch-at-length analysis. Biometrics, 48: 231-257.
24. Walters, C.J., and Hilborn, R. 1976. Adaptive control of fishing system. J. Fish. Res. Board Can. 33: 145-159.