Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

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Introduction * 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: Multi-Model Inference (MMI) * Monte Carlo Insights and Extended Examples * Statistical Theory and Numerical Results * Summary

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Neural Networks and Applications Statistical and Computational Modeling Scientific Measurement and Uncertainty Evaluation

Publication Details

Published in: Journal of Wildlife Management

Volume 67, Issue 3, pp. 655-655

DOI: 10.2307/3802723

Field-Weighted Citation Impact: 914.88

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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Authors

Abstract

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Publication Details