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A brief introduction to mixed effects modelling and multi-model inference in ecology [PeerJ]
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink
Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). - Abstract - Europe PMC
IJERPH | Free Full-Text | Examining Type 1 Diabetes Mathematical Models Using Experimental Data | HTML
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PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
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Quiz 3. Model selection Overview Objectives determine the “choice” of model Modeling for forecasting Likelihood ratio test Akaike Information Criterion. - ppt download
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink
Percentages of correct model order selection by AIC, AICC, BIC, C p ,... | Download Scientific Diagram
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PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar
Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets | BMC Ecology and Evolution | Full Text
Multimodel Inference: Understanding AIC and BIC in Model Selection | BibSonomy
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
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PDF) History of multimodel inference via model selection in wildlife science: Multimodel Inference in Wildlife Science
Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) - ScienceDirect
Burnham, Anderson - AIC and BIC paper.pdf - Multimodel Inference Understanding AIC and BIC in Model Selection KENNETH P. BURNHAM DAVID R. | Course Hero
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PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar
Species ethnobotanical values rather than regional species pool determine plant diversity in agroforestry systems | Scientific Reports
Truth, models, model sets, AIC, and multimodel inference: A Bayesian perspective - Barker - 2015 - The Journal of Wildlife Management - Wiley Online Library
Frontiers | Incorporating Parameter Estimability Into Model Selection | Ecology and Evolution
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