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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
2003 · Journal of Wildlife Management · DOI 10.2307/3802723
Introduction * Information and Likelihood Theory: A Basis for Model Selection and Inference * Basic Use of the Information-Theoretic Approach * Formal Inference From More Than One Model: Multi-Model Inference (MMI) * Monte Carlo Insights and Extended Examples * Statistical Theory and Numerical Results * Summary
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David R. Anderson
Colorado State University
1 shared publicationFred S. Guthery1 shared publication
David Anderson1 shared publication