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Model selection and multimodel inference : a practical information-theoretic approach /

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This book is unique in that it covers the philosophy of model-based data analysis and a strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best repr...

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Bibliographic Details
Main Author: Burnham, Kenneth P.
Corporate Author: SpringerLink (Online service)
Other Authors: Anderson, David Raymond, 1942-
Format: eBook
Language:English
Published: New York : Springer, [2002]
Edition:2nd ed.
Subjects:
Biology > Mathematical models.
Mathematical statistics.
NATURE > Reference.
SCIENCE > Life Sciences > General.
SCIENCE > Life Sciences > Biology.
Electronic books.
Models, Statistical.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Introduction
  • 2. Information and likelihood theory: a basis for model selection and inference
  • 3. Basic use of the information-theoretic approach
  • 4. Formal inference from more than one model: multimodel inference (MMI)
  • 5. Monte Carlo insights and extended examples
  • 6. Advanced issues and deeper insights
  • 7. Statistical theory and numerical results
  • 8. Summary.