Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Author:   Kenneth P. Burnham ,  David R. Anderson
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 2nd ed. 2002
ISBN:  

9781441929730


Pages:   488
Publication Date:   01 December 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach


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Author:   Kenneth P. Burnham ,  David R. Anderson
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 2nd ed. 2002
Dimensions:   Width: 15.50cm , Height: 2.60cm , Length: 23.50cm
Weight:   1.580kg
ISBN:  

9781441929730


ISBN 10:   1441929738
Pages:   488
Publication Date:   01 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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.

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