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About this book
Presents several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision.
Contents
Introduction.- Information and Likelihood Theory and Models: 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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