PDF) Extending the Akaike Information Criterion to Mixture Regression Models
![PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/28a33248a3825855a7cd8d80c2c361d0e8d56753/4-Table2-1.png "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
SciELO - Brasil - Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV- models Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the
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PDF) Erratum to: AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons
On model selection criteria in multimodel analysis - Ye - 2008 - Water Resources Research - Wiley Online Library
Net survival curves: comparison between the PP estimates and estimates... | Download Scientific Diagram
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink
![PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/28a33248a3825855a7cd8d80c2c361d0e8d56753/3-Table1-1.png "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
On the performance of information criteria for model identification of count time series
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests | BMC Bioinformatics | Full Text
Model selection for dynamical systems via sparse regression and information criteria | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Sustainability | Free Full-Text | Measuring the Urban Forms of Shanghai's City Center and Its New Districts: A Neighborhood-Level Comparative Analysis | HTML
Bayesian Information Criterion - an overview | ScienceDirect Topics
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) Model selection for ecologists: The worldviews of AIC and BIC
SciELO - Brasil - Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV- models Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the
Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) - ScienceDirect
Tree canopy arthropods have idiosyncratic responses to plant ecophysiological traits in a warm temperate forest complex | Scientific Reports
![PDF] Model selection for ecologists: the worldviews of AIC and BIC. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/09d9972ea7327e5506cbaa4ea568abe6149c0d10/5-Table2-1.png "PDF] Model selection for ecologists: the worldviews of AIC and BIC. | Semantic Scholar")
PDF] Model selection for ecologists: the worldviews of AIC and BIC. | Semantic Scholar
PDF) History of multimodel inference via model selection in wildlife science: Multimodel Inference in Wildlife Science
Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton - ScienceDirect
