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Model selection and multimodel inference : a practical information-theoretic approach
- K. Burnham, David R. Anderson
- Computer Science
- 1 July 2003
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…
Multimodel Inference
- K. Burnham, David R. Anderson
- Computer Science
- 1 November 2004
TLDR
Modeling Survival and Testing Biological Hypotheses Using Marked Animals: A Unified Approach with Case Studies
- J. Lebreton, K. Burnham, J. Clobert, David R. Anderson
- Environmental Science
- 1 February 1992
TLDR
Model selection and multimodel inference
- K. Burnham, David R. Anderson
- Economics
- 1998
TLDR
Model Selection and Inference: A Practical Information-Theoretic Approach
- P. Beier, K. Burnham, David R. Anderson
- Computer Science
- 1 July 2001
Model selection and inference : a practical information-theoretic approach
- R. Strawderman, K. Burnham, David R. Anderson
- Computer Science
- 1 March 2000
Information theory and log-likelihood models - a basis for model selection and inference practical use of the information theoretic approach model selection uncertainty with examples Monte Carlo…
Statistical inference from capture data on closed animal populations
- D. Otis, K. Burnham, G. White, David R. Anderson
- Mathematics
- 1 June 1980
Distance Sampling: Estimating Abundance of Biological Populations
- S. Lutz, S. Buckland, David R. Anderson, K. Burnham, J. Laake
- Environmental Science
- 1 July 1995
TLDR
Understanding AIC and BIC in Model Selection
- K. Burnham, David R. Anderson
- Computer Science
- 2004
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons
- K. Burnham, David R. Anderson, K. Huyvaert
- EconomicsBehavioral Ecology and Sociobiology
- 1 February 2011
We briefly outline the information-theoretic (I-T) approaches to valid inference including a review of some simple methods for making formal inference from all the hypotheses in the model set…
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