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Academic & Professional Books  Reference  Data Analysis & Modelling  Modelling

Model Selection and Multi-Model Inference A Practical Information-Theoretic Approach

By: David R Anderson and Kenneth P Burnham
488 pages, Figs, tabs
Publisher: Springer-Verlag
Model Selection and Multi-Model Inference
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  • Model Selection and Multi-Model Inference ISBN: 9780387953649 Edition: 2 Hardback Dec 2002 Usually dispatched within 1-2 weeks
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About this book Contents Customer reviews Related titles

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.

Customer Reviews

By: David R Anderson and Kenneth P Burnham
488 pages, Figs, tabs
Publisher: Springer-Verlag
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