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The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library

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]

Model selection: Cp, AIC, BIC and adjusted R² | by Yash Choksi | Analytics Vidhya | Medium
Model selection: Cp, AIC, BIC and adjusted R² | by Yash Choksi | Analytics Vidhya | Medium

AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink

PDF) Model selection for ecologists: The worldviews of AIC and BIC
PDF) Model selection for ecologists: The worldviews of AIC and BIC

Mathematics | Free Full-Text | A New Criterion for Model Selection | HTML
Mathematics | Free Full-Text | A New Criterion for Model Selection | HTML

PDF) Comparing dynamic causal models using AIC, BIC and Free Energy
PDF) Comparing dynamic causal models using AIC, BIC and Free Energy

Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) - ScienceDirect
Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) - ScienceDirect

PDF) History of multimodel inference via model selection in wildlife science: Multimodel Inference in Wildlife Science
PDF) History of multimodel inference via model selection in wildlife science: Multimodel Inference in Wildlife Science

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
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

Model Selection using the glmulti and MuMIn Packages [The metafor Package]
Model Selection using the glmulti and MuMIn Packages [The metafor Package]

Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton - ScienceDirect
Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton - ScienceDirect

Species ethnobotanical values rather than regional species pool determine plant diversity in agroforestry systems | Scientific Reports
Species ethnobotanical values rather than regional species pool determine plant diversity in agroforestry systems | Scientific Reports

PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar
PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar

Multimodel inference for biomarker development: an application to schizophrenia | Translational Psychiatry
Multimodel inference for biomarker development: an application to schizophrenia | Translational Psychiatry

History of multimodel inference via model selection in wildlife science - Lindberg - 2015 - The Journal of Wildlife Management - Wiley Online Library
History of multimodel inference via model selection in wildlife science - Lindberg - 2015 - The Journal of Wildlife Management - Wiley Online Library

Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests | BMC Bioinformatics | Full Text
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests | BMC Bioinformatics | Full Text

PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar
PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar

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]

The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
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: Understanding AIC and BIC in Model Selection | BibSonomy
Multimodel Inference: Understanding AIC and BIC in Model Selection | BibSonomy

Burnham, Anderson - AIC and BIC paper.pdf - Multimodel Inference Understanding AIC and BIC in Model Selection KENNETH P. BURNHAM DAVID R. | Course Hero
Burnham, Anderson - AIC and BIC paper.pdf - Multimodel Inference Understanding AIC and BIC in Model Selection KENNETH P. BURNHAM DAVID R. | Course Hero