Further Reading

Borsuk ME, Stow CA, Higdon D, and Reckhow KH (2001) A Bayesian hierarchical model to predict benthic oxygen demand from organic matter loading in estuaries and coastal zones. Ecological modelling 143: 165-181.

Burnham KP and Anderson DR (2004) Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods and Research 33: 261-304.

Cade BS and Noon BR (2003) A gentle introduction to quantile regression for ecologists. Frontiers in Ecology 1: 412-420.

Cade BS, Terrell JW, and Schroeder RJ (1999) Estimating effects of limiting factors with quantiles. Ecology 80: 311-323.

Clark JS (2007) Models for Ecological Data. Princeton, NJ: Princeton University Press.

Congdon P (2001) Bayesian Statistical Modelling. Chichester: Wiley.

Cottingham KL, Lennon JT, and Brown BL (2005) Knowing when to draw the line: Designing more informative ecological experiments. Frontiers in Ecology 3: 145-152.

De'ath G and Fabricius KE (2000) Classification and regression trees: A powerful yet simple technique for ecological data analysis. Ecology 81: 3178-3192.

Dobson AJ (1999) An Introduction to Generalized Linear Models. Boca Raton, FL: Chapman and Hall/CRC Press.

Gelman A, Carlin JB, Stern HS, and Rubin DB (1995) Bayesian Data Analysis. London: Chapman and Hall.

Gotelli NJ and Ellison AM (2004) A Primer of Ecological Statistics. Sunderland, MA: Sinauer Associates.

Quinn GP and Keough MJ (2002) Experimental Design and Data Analysis for Biologists. Cambridge: Cambridge University Press.

Reichert P and Omlin M (1997) On the usefulness of overparameterized ecological models. Ecological Modelling 95: 289-299.

Shipley B (2000) Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations, and Causal Inference. Cambridge: Cambridge University Press.

Steady State Models See Empirical Models

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