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And Silkey, M. (1997), “Natural Variability of Benthic Species Composition in the Delaware Bay,” Environmental and Ecological Statistics, 4, 95–115. , and Fagan, W. F. (1999), “Statistical Analysis and Interpretation of Discrete Compositional Data,” NRCSE Technical Report Series, 11, University of Washington. pdf. , El-Shaarawi, A. , and Teugels, J. L. (1999), “Maximum Microbiological Contaminant Levels,” Environmetrics, 10, 79–86. Caselton, W. , and Zidek, J. V. (1992), “Quality Data Networks That Minimize Entropy,” in Statistics in the Environmental & Earth Sciences, eds.

Classical resampling methods like the jackknife (Burnham and Overton 1978) and the bootstrap (Norris and Pollock 1996b) are now widely used. Generalized linear models (Cormack 1989) and linear logistic models (Huggins 1989) with fixed and random effects (Pledger 2000) are now being used, as are Markov chain Monte Carlo (MCMC) and other modern Bayesian methods (Vounsatu and Smith 1995). © 2002 by American Statistical Association 6. CONCLUSION The continual interaction of animal ecologists and statisticians has been crucial to the development of sound capture–recapture models.

Cormack, R. M. (1989), “Loglinear Models for Capture–Recapture,” Biometrics, 45, 395–413. Hanski, L. , and Gilpin, M. E. (1991), “Metapopulation Dynamics: Brief History and Conceptual Domain,” Biological Journal of the Linnean Society, 42, 3–16. Heisey, D. , and Fuller, T. K. (1985), “Evaluation of Survival and Cause Specific Mortality Rates Using Telemetry Data,” Journal of Wildlife Management, 49, 668–674. Hestbeck, J. , Nichols, J. , and Malecki, R. A. (1991), “Estimates of Movement and Site Fidelity Using Mark-Resight Data of Wintering Canada Geese,” Ecology, 72, 523–533.

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