Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (Paperback, 2, Softcover Repri)

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