Bibliography for Practical Model Selection and Multi-model Inference in R.
Anderson, D. R. (2001). The need to get the basics right in wildlife field studies. Wildlife
Society Bulletin 29: 1294-1297.
Anderson, D. R. (2008). Model based inference in the life sciences: A primer on
evidence. New York, Springer.
Anderson, D. R. and K. P. Burnham (2002). Avoiding pitfalls when using informationtheoretic methods. Journal of Wildlife Management 66: 912-918.
Anderson, D. R., et al. (2001). Concerns about finding effects that are actually spurious.
Wildlife Society Bulletin 29: 311-316.
Anderson, D. R., et al. (2001). Suggestions for presenting the results of data analysis.
Journal of Wildlife Management 65: 373-378.
Burnham, K. P. and D. R. Anderson (2001). Kullback-Leibler information as a basis for
strong inference in ecological studies. Wildlife Research 28: 111-119.
Burnham, K. P. and D. R. Anderson (2002). Model selection and multi-model inference:
a practical information-theoretic approach. New York, Springer.
Burnham, K. P. and D. R. Anderson (2004). Multimodel inference: understanding AIC
and BIC in model selection. Sociological Methods Research 33: 261-304.
Chamberlain (1890)
Chamberlin, T. C. (1890). The method of multiple working hypotheses. Science
(reprinted).
Ford, E. D. 2000. Scientific Method for Ecological Research. Cambridge University
Press
Fox, J. 2002. An R and S-plus Companion to Applied Regression. Sage Publications.
Harrell, F.E.. 2001. Regression Modeling Strategies with Applications to Linear Models,
Logistic Regression, and Survival Analysis. Springer.
Platt, J. R. (1964). Strong inference. Science 146: 347-353.