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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Journal of Wildlife Management · 2003 · Vol. 67(3) · pp. 655–655
Abstract
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
Neural Networks and ApplicationsStatistical and Computational ModelingScientific Measurement and Uncertainty EvaluationSelection (genetic algorithm)InferenceComputer scienceModel selectionArtificial intelligence
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