Table of contents for Model selection and multimodel inference : a practical information-theoretic approach / Kenneth P. Burnham, David R. Anderson.


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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


Library of Congress subject headings for this publication:
Biology -- Mathematical models.
Mathematical statistics.