Linear mixed-effects models for weight-length relationships

Fisheries Research

Volumn 70, Issue 2-3 SPEC. ISS., 2004, Pages 377-387

  Lai, Han Lin ^a   Helser, Thomas ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

Group means of residuals; Grouped data; Index of condition; Linear mixed effects model; Weight length relationship

Indexed keywords

ESTIMATION METHOD; FITNESS; INDEX METHOD; LENGTH-WEIGHT RELATIONSHIP;

PECTINIDAE; PLACOPECTEN MAGELLANICUS;

EID: 9744258830     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2004.08.014     Document Type: Article

References (36)

1. M. Aitkin, and N.T. Longford Statistical modeling in school effectiveness studies (with discussion) J. R. Stat. Soc. A. 149 1986 1 43
2. R.O. Anderson, and R.M. Neumann Length, weight, and associated structural indices B.R. Murphy D.W. Willis Fisheries Techniques 2nd ed. 1996 American Fishery Society Bethesda, MD 447 482
3. r differences between groups N. Am. J. Fish. Manage. 23 2003 1136 1151
4. A.S. Bryk, and S.W. Raudenbush Hierarchical Linear Models: Applications and Data Analysis Methods 1992 Sage Publishing Newbury Park, CA
5. K.P. Burnham, and D.R. Anderson Model Selection and Multimodel Inference A Practical Information-Theoretic Approach 2nd ed. 2002 Springer-Verlag New York
6. K.D. Carlander Handbook of Freshwater Fishery Biology 1977 Iowa State University Press Ames, IA
7. B.P. Carlin, and T.A. Louis Bayes and Empirical Bayes Methods for Data Analysis 2nd ed. 2000 Chapman & Hall New York
8. R.R. Corbeil, and S.R. Searle Restricted maximum likelihood (REML) estimation of variance components in the mixed model Technometrics 18 1976 31 38
9. H. Goldstein Multilevel Statistical Models 2nd ed. 1995 Edward Arnold London
10. H. Goldstein, and M.J.R. Healy The graphical presentation of a collection of means J. R. Stat. Soc. A 158 1994 175 177
11. D.A. Harville Maximum likelihood approaches to variance component estimation and related problems J. Am. Stat. Assoc. 72 1977 320 338
12. V.J. Isaac The accuracy of some length-based methods for fish population studies Int. Centre Living Aqua. Resour. Manage. (ICLARM) Tech. Res. 1990 27
13. J.E. Kirkley, W.D. DuPaul, and A. Schmitzer Factors affecting the relationship between meat weight and shell height of Placopecten magellanicus (GEMLIN, 1791) in the mid-Atlantic region S.E. Shumway P.A. Sandifer An international Compendium of Scallop Biology and Culture. World Aquaculture Workshops vol. 1 1991 World Aquaculture Society Baton Rouge, LA 134 139
14. Lai, H.L., Hendrikson, L., 1997. Current resource conditions in USA Georges Bank and Mid-Atlantic sea scallop populations: results of the 1997 NMFS sea scallop research vessel survey. NEFSC, Woods Hole Lab. Ref. Doc. 97-09.
15. H.L. Lai, and D.K. Kimura Analyzing survey experiments having spatial variability with an application to a sea scallop fishing experiment Fish. Res. 56 2002 239 259
16. E.D. Le Cren The weight-length relationship and seasonal cycle in gonad weight and condition in the perch (Perca fluviatilis) J. Anim. Ecol. 20 1951 210 219
17. X. Lin, and R.J. Carroll SIMEX variance component tests in generalized linear mixed measurement error models Biometrics 55 1999 613 619
18. D.V. Lindley, and A.F.M. Smith Bayes estimates for the linear model J. R. Stat. Soc. B 34 1972 1 41
19. R.C. Littell, G.A. Milliken, W.W. Stroup, and R.D. Wolfinger SAS® system for mixed models 1996 SAS Institute Inc. Cary, NC
20. P. McCullaugh, and J.A. Nelder Generalized Linear Models 2nd ed. 1989 Chapman & Hall London
21. M. Moerbeek, G.J.P. van Breukelen, and M.P.F. Berger A review of four methods for the analysis of multilevel experimental data Kwantitatieve Methoden 22 2001 52 73
22. C.N. Morris Parametric empirical Bayes inference: theory and applications (with comments) J. Am. Stat. Assoc. 78 1982 47 65
23. S.A. Murawski, R. Brown, H.L. Lai, P.J. Rago, and L. Hendrickson Large-scale closed areas as a fishery-management tool in temperate marine systems: the Georges Bank experience Bull. Mar. Sci. 66 2000 775 798
24. r) index, with new applications to walleye N. Am. J. Fish. Manage. 10 1990 85 97
25. B.R. Murphy, D.W. Willis, and T.A. Springer The relative weight index in fisheries management: status and needs Fisheries 16 1991 30 38
26. NEFSC (Northeast Fisheries Science Center), 1999. 29rd Northeast Regional Stock Assessment Workshop (29rd SAW): Stock Assessment Review Committee (SARC) consensus summary of assessment. NEFSC Ref. Doc. 99-14. Woods Hole, MA.
27. J.C. Pinheiro, and D.M. Bates Mixed-effects Models in S and S-plus 2000 Springer-Verlag New York
28. Robbins, H., 1955. An empirical Bayes approach to statistics. In: Neyman, J., Proceedings of the Third Berkeley Symposium on Mathematics Statistical and Problem, vol. 1. University of California, Berkeley, CA, 157-164.
29. SAS Institute, 1996. SAS/STAT software: changes and enhancements through Release 6. 11, SAS Institute, Inc., Cary, NC, 1996.
30. H. Scheffé The Analysis of Variance 1959 Wiley New York
31. G.A.F. Seber Linear Regression Analysis 1977 Wiley New York
32. J.D. Singer Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models J. Edu. Behav. Stat. 24 1996 323 355
33. T. Snijders, and R. Bosker Multilevel Analysis 1999 Sage Publishing London
34. Spiegelhalter, D.J., Thomas, A., Best, N.G., Lunn, D., 2003. WinBUGS User Manual. Available from http://www.mrc-bsu.cam.ac.uk/bugs.
35. N. Wang, X. Lin, R.G. Gutierrez, and R.J. Carroll Bias analysis and SIMEX approach in generalized linear mixed measurement error models J. Am. Stat. Assoc. 93 1998 249 261
36. r): a new index of condition for largemouth bass G.D. Novinger J.D. Dillard New Approach to the Management of Small Impoundments Special Publication 5 1978 American Fishery Society Bethesda, MD 79 81