Model selection and multimodel inference
Model selection and multimodel inference a practical information-theoretic approach Kenneth P. Burnham, David R. Anderson
Publisher: New York : Springer, c2002.
ISBN: 6610009481
DDC: 570.151
LCC: QH323.5
Notes:
Title from e-book title screen (viewed October 15, 2007).
Includes bibliographical references (p. [455]-484) and index.
Cover Preface Table of Contents About the Authors Glossary 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 References.
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