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Model Selection and Multimodel Inference

A Practical Information-Theoretic Approach

Authors: Burnham, Kenneth P., Anderson, David R.

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eBook $109.00
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  • ISBN 978-0-387-22456-5
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Hardcover $149.00
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About this book

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 in a pre-de?ned set. Traditional statistical inference can then be based on this selected best model. However, we now emphasize that information-theoretic approaches allow formal inference to be based on more than one model (m- timodel inference). Such procedures lead to more robust inferences in many cases, and we advocate these approaches throughout the book. The second edition was prepared with three goals in mind. First, we have tried to improve the presentation of the material. Boxes now highlight ess- tial expressions and points. Some reorganization has been done to improve the ?ow of concepts, and a new chapter has been added. Chapters 2 and 4 have been streamlined in view of the detailed theory provided in Chapter 7. S- ond, concepts related to making formal inferences from more than one model (multimodel inference) have been emphasized throughout the book, but p- ticularly in Chapters 4, 5, and 6. Third, new technical material has been added to Chapters 5 and 6. Well over 100 new references to the technical literature are given. These changes result primarily from our experiences while giving several seminars, workshops, and graduate courses on material in the ?rst e- tion.

Table of contents (8 chapters)

  • Introduction

    Pages 1-48

  • Information and Likelihood Theory: A Basis for Model Selection and Inference

    Pages 49-97

  • Basic Use of the Information-Theoretic Approach

    Pages 98-148

  • Formal Inference From More Than One Model: Multimodel Inference (MMI)

    Pages 149-205

  • Monte Carlo Insights and Extended Examples

    Pages 206-266

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-0-387-22456-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-0-387-95364-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4419-2973-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Model Selection and Multimodel Inference
Book Subtitle
A Practical Information-Theoretic Approach
Authors
Copyright
2002
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-0-387-22456-5
DOI
10.1007/b97636
Hardcover ISBN
978-0-387-95364-9
Softcover ISBN
978-1-4419-2973-0
Edition Number
2
Number of Pages
XXVI, 488
Topics