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πŸ“

Model Selection and Inference: A Practical Information-Theoretic Approach

✍ Scribed by Kenneth P. Burnham, David R. Anderson (auth.)


Publisher
Springer New York
Year
1998
Tongue
English
Leaves
373
Category
Library

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✦ Table of Contents


Front Matter....Pages i-xx
Introduction....Pages 1-31
Information Theory and Log-Likelihood Models: A Basis for Model Selection and Inference....Pages 32-74
Practical Use of the Information-Theoretic Approach....Pages 75-117
Model-Selection Uncertainty with Examples....Pages 118-158
Monte Carlo and Example-Based Insights....Pages 159-229
Statistical Theory....Pages 230-314
Summary....Pages 315-328
Back Matter....Pages 329-355

✦ Subjects


Statistical Theory and Methods


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