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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

2003; Wiley; Volume: 67; Issue: 3 Linguagem: Inglês

10.2307/3802723

1937-2817

Fred S. Guthery, Kenneth P. Burnham, David Anderson,

Scientific Measurement and Uncertainty Evaluation

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