Model Selection and Multimodel Inference A Practical Information-Theoretic Approach /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Burnham, Kenneth P. (Editor), Anderson, David R. (Editor)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2002.
• Edition: 2.
• Subjects: Statistics.; Ecology.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.

We wrote this book to introduce graduate students and research workers in various scienti?c disciplines to the use of information-theoretic approaches in the analysis of empirical data. These methods allow the data-based selection of a “best” model and a ranking and weighting of the remaining models...

Table of Contents:

• 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: Multimodel Inference (MMI)
• Monte Carlo Insights and Extended Examples
• Advanced Issues and Deeper Insights
• Statistical Theory and Numerical Results
• Summary.