Analysis of groundfish survey abundance data: Combining the GLM and delta approaches

ICES Journal of Marine Science

Volumn 53, Issue 3, 1996, Pages 577-588

  Stefánsson, Gunnar ^a  

^a MARINE RESEARCH INSTITUTE   (Iceland)

Author keywords

Generalized linear models; Marine surveys

Indexed keywords

FISHERY MODELS; GENERALIZED LINEAR MODELS; GROUNDFISH FISHERIES; SURVEY ABUNDANCE DATA;

FISHERY; FOOD INDUSTRY; MAXIMUM LIKELIHOOD METHOD; MODEL; STATISTICAL MODEL;

EID: 0029853793     PISSN: 10543139     EISSN: None     Source Type: Journal    
DOI: 10.1006/jmsc.1996.0079     Document Type: Article

References (31)

1. Aitchison, J. 1955. On the distribution of a positive random variable having a discrete probability mass at the origin. Journal of the American Statistical Association, 50: 901-908.
2. Anon., 1992. Report of the workshop on the analysis of survey data. ICES C.M. 1992/D:6.
3. Anon., 1994. Nytjastofnar sjávar og umhverfispættir 1994. Aflahorfur fiskveioiário 1994/1995 [State of Marine Stocks and Environmental Conditions in Icelandic Waters 1994, Prospects for the Quota Year 1994/93]. Marine Research Institute, Reykjavík.
4. Becker, R. A., Chambers, J. M., and Wilks, A. R. 1988. The New S language. A programming environment for data analysis and graphics. Wadsworth & Brooks/Cole Advanced Books & Software. Pacific Grove, California.
5. Chambers, J. M. and Hastie, T. J. 1991. Statistical models in S. Wadsworth and Brooks, Pacific Grove, California. 608 pp.
6. Cochran, W. G. 1977. Sampling techniques. 3rd edn. John Wiley & Sons, Inc., New York. 330 pp.
7. Coe, R. and Stern, R. D. 1982. Fitting models to daily rainfall data. Journal of Applied Meteorology, 21: 1024-1031.
8. Firth, D. 1988. Multiplicative errors: Log-normal or Gamma? Journal of the Royal Society, B, 50: 266-268.
9. Foote, K. G. and Stefánsson, G. 1993. Definition of the problem of estimating fish abundance over an area from acoustic line transect measurements of density. ICES Journal of Marine Science, 50: 369-381.
10. Gavaris, S. 1980. Use of a multiplicative model to estimate catch rate and effort from commercial data. Canadian Journal of Fisheries and Aquatic Sciences, 37: 2272-2275.
11. Gulland, J. A. 1965. Estimation of mortality rates. Annex to Arctic Fisheries Working Group Report. ICES, C.M. Gadoid Fish Committee: 3. 9 pp.
12. Hastie, T. and Tibshirani, R. 1990. Generalized additive models. Chapman and Hall, London. 335 pp.
13. Large, P. A. 1992. Use of a multiplicative model to estimate relative abundance from commercial CPUE data. ICES Journal of Marine Science, 49: 253-261.
14. McCullagh, P. and Nelder, J. A. 1989. Generalized Linear Models. Chapman and Hall, London. 511 pp.
15. Myers, R. A. and Pepin, P. 1986. The estimation of population size from research surveys using regression models. ICES CM 1986/D:9.
16. Myers, R. A. and Pepin, P. 1990. The robustness of lognormal based estimators of abundance. Biometrics, 46: 1185-1192.
17. Pálsson, Ó. K., Jónsson, E., Schopka, S. A., Stefánsson, G., and Steinarsson, B. Æ. 1989. Icelandic groundfish survey data used to improve precision in stock assessments. Journal of Northwest Atlantic Fisheries Science, 9: 53-72.
18. Pennington, M. 1983. Efficient estimators of abundance, for fish and plankton surveys. Biometrics, 39: 281-286.
19. Pennington, M. 1991. On testing the robustness of lognormal-based estimators. Biometrics, 47: 1623-1624.
20. Pennington, M. and Vølstad, J. H. (In press). Assessing the effect of intra-haul correlation and variable density on estimates of population characteristics from marine surveys. Biometrics.
21. Perry, J. N. and Taylor, L. R. 1985. Adès: New ecological families of species-specific frequency distributions that describe repeated spatial samples with an intrinsic power-law variance-mean property. Journal of Animal Ecology, 54: 931-953.
22. Petitgas, P. 1993. Geostatistics for fish stock assessments: a review and an acoustic application. ICES Journal of Marine Science, 50: 285-298.
23. Polacheck, T. and Vølstad, J. H. 1993. Analysis of spatial variability of Georges Bank haddock (Melanogrammus aeglefinus) from trawl survey data using a linear regression model with spatial interaction. ICES. Journal of Marine Science, 50: 1-8.
24. Smith, S. J. 1988. Evaluating the efficiency of the Δ-distribution mean estimator. Biometrics, 44: 485-493.
25. Smith, S. J. 1990. Use of statistical models for the estimation of abundance from groundfish survey data. Canadian Journal of Fisheries and Aquatic Sciences, 49: 1366-1378.
26. Smith, S. J., Perry, R. I., and Fanning, L. P. 1991. Relations between water mass characteristics and estimates of fish population abundance from trawl surveys. Environmental Monitoring and Assessment, 17: 227-245.
27. Steinarsson, B. Æ. and Stefánsson, G. 1986. Comparison of random and fixed trawl stations in Icelandic groundfish surveys and some computational considerations. ICES C.M. 1986/D:13.
28. Swartzman, G. L., Huang, C. P., and Kaluzny, S. P. 1992. Analysis of Bering Sea groundfish survey data using generalized additive models. Canadian Journal of Fisheries and Aquatic Science. 49: 1366-1378.
29. Taylor, C. C. 1953. Nature of variability in trawl catches. Fishery Bulletin. U.S., 54: 145-166.
30. Thompson, H. 1929. General features in the biology of the Haddock (Gadus aeglefinus L.) in Icelandic waters during 1903-1926. Rapp. proc. verb. Reun, LVII: 3-73.
31. Waiwood, K. G., Smith, S. J., and Petersen, M. R. 1991. Feeding of cod (Gadus morhua) at low temperatures. Canadian Journal of Fisheries and Aquatic Sciences, 48: 824-831.