Model selection and multimodel inference : a practical information-theoretic approach

@article{Burnham2003ModelSA,
  title={Model selection and multimodel inference : a practical information-theoretic approach},
  author={Kenneth P. Burnham and David R. Anderson},
  journal={Journal of Wildlife Management},
  year={2003},
  volume={67},
  pages={655}
}
The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference). A philosophy is presented for model-based data analysis and a general strategy outlined for the analysis of empirical data. The book invites increased attention on a priori science hypotheses and modeling. Kullback-Leibler Information represents a fundamental quantity in science and is Hirotugu Akaike's basis for model… Expand
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