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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
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink
Burnham, Anderson - AIC and BIC paper.pdf - Multimodel Inference Understanding AIC and BIC in Model Selection KENNETH P. BURNHAM DAVID R. | Course Hero
History of multimodel inference via model selection in wildlife science - Lindberg - 2015 - The Journal of Wildlife Management - Wiley Online Library
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink
Frontiers | Bird Communities in Coastal Areas. Effects of Anthropogenic Influences and Distance From the Coast | Ecology and Evolution
Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) - ScienceDirect
Modeling of Temporal Exposure to the Ambient Environment and Eczema Severity - JID Innovations
Quiz 3. Model selection Overview Objectives determine the “choice” of model Modeling for forecasting Likelihood ratio test Akaike Information Criterion. - ppt download
Multimodel Inference: Understanding AIC and BIC in Model Selection | BibSonomy
A brief introduction to mixed effects modelling and multi-model inference in ecology [PeerJ]
A brief introduction to mixed effects modelling and multi-model inference in ecology [PeerJ]
Frontiers | Incorporating Parameter Estimability Into Model Selection | Ecology and Evolution
On model selection criteria in multimodel analysis - Ye - 2008 - Water Resources Research - Wiley Online Library
Burnham, Anderson - AIC and BIC paper.pdf - Multimodel Inference Understanding AIC and BIC in Model Selection KENNETH P. BURNHAM DAVID R. | Course Hero
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
PDF) History of multimodel inference via model selection in wildlife science: Multimodel Inference in Wildlife Science
Mathematics | Free Full-Text | A New Criterion for Model Selection | HTML
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton - ScienceDirect
Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) - ScienceDirect
Model Selection using the glmulti and MuMIn Packages [The metafor Package]
Species ethnobotanical values rather than regional species pool determine plant diversity in agroforestry systems | Scientific Reports
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