Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach (Hardcover, 2, 2002. Corr. 3rd)

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