Bias and bias correction in fish recruitment prediction

North American Journal of Fisheries Management

Volumn 24, Issue 2, 2004, Pages 724-730

  Chen, D G ^a  

^a INTERNATIONAL PACIFIC HALIBUT COMMISSION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR CORRECTION; PREDICTION; RECRUITMENT; STOCK ASSESSMENT;

ONCORHYNCHUS; ONCORHYNCHUS GORBUSCHA; ONCORHYNCHUS NERKA;

EID: 2942636042     PISSN: 02755947     EISSN: None     Source Type: Journal    
DOI: 10.1577/M03-053.1     Document Type: Article

References (22)

1. Aitchison, J., and J. A. C. Brown. 1957. The lognormal distribution. University Press, London.
2. Arnold, S. F. 1981. The theory of linear models and multivariate analysis. Wiley, New York.
3. Beverton, R. J. H., and S. J. Holt. 1957. On the dynamics of exploited fish populations. Fisheries Investigations, Series II, Marine Fisheries, Great Britain Ministry of Agriculture, Fisheries and Food 19.
4. Bradu, D., and Y. Mundlak. 1970. Estimation in log-normal linear models. Journal of the American Statistical Association 65:198-211.
5. Chen, D. G., and J. R. Irvine. 2001. A semiparametric model to examine stock-recruitment relationships incorporating environmental data. Canadian Journal of Fisheries and Aquatic Sciences 58:1178-1186.
6. Chen, D. G., J. R. Irvine, and A. J. Cass. 2001. Incorporating Allee effects in fish stock-recruitment models and applications for determining reference points. Canadian Journal of Fisheries and Aquatic Sciences 59:242-249.
7. Chen, D. G., and D. M. Ware. 1999. A neural network model for forecasting fish stock recruitment. Canadian Journal of Fisheries and Aquatic Sciences 56:2385-2396.
8. Deriso, R. B. 1980. Harvesting strategies and parameter estimation for an age-structured model. Canadian Journal of Fisheries and Aquatic Sciences 37:268-282.
9. Draper, N. R., and H. Smith. 1981. Applied regression analysis, 2nd edition. Wiley, New York.
10. Finney, D. J. 1951. On the distribution of a variate whose logarithm is normally distributed. Journal of the Royal Statistical Society 7(Supplement):155-161.
11. Goldberger, A. S. 1968. The interpretation and estimation of Cobb-Douglas functions. Econometrica 35:464-472.
12. Graybill, F. A. 1976. Theory and application of the linear model. Wadsworth and Brooks/Cole, Pacific Grove, California.
13. Hennemuth, R. C., J. E. Palmer, and B. E. Brown. 1980. A statistical description of recruitment in eighteen selected fish stocks. Journal of Northwest Atlantic Fisheries Science 1:101-111.
14. Hilborn, R. 1985. Simplified calculation of optimum spawning stock size from Ricker's stock recruitment curve. Canadian Journal of Fisheries and Aquatic Sciences 42:1833-1834.
15. Hilborn, R., and C. J. Walters. 1992. Quantitative fisheries stock assessment and management: choice, dynamics, and uncertainty. Chapman and Hall, New York.
16. Jacobson, L. D., and A. D. MacCall. 1995. Stock-recruitment models for Pacific sardine (Sardinops sagax). Canadian Journal of Fisheries and Aquatic Sciences 52:566-577.
17. MacCall, A. D., and S. Ralston. 2002. Is logarithmic transformation really the best procedure for estimating stock-recruitment relationships? North American Journal of Fisheries Management 22: 339-350.
18. Meulenberg, M. T. G. 1965. On the estimation of an exponential function. Econometrica 33:863-868.
19. Peterman, R. M. 1981. Form of random variation in salmon smolt-to-adult relations and its influence on production estimates. Canadian Journal of Fisheries and Aquatic Sciences 38:1113-1119.
20. Quinn, T. J., and R. B. Deriso. 1999. Quantitative fish dynamics. Oxford University Press, New York.
21. Ricker, W. E. 1975. Computation and interpretation of biological statistics of fish populations. Fisheries Research Board of Canada Bulletin 191.
22. Walters, C. J. 1985. Bias in the estimation of functional relationships from time series data. Canadian Journal of Fisheries and Aquatic Sciences 42:147-149.