The underlined entry of each row is the minimal value of AIC attained for that dataset. Values in brackets in column names give the number of parameters which are inferred for each model.</p
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) ...
<p>Each row specifies the significant increase in goodness of fit obtained by adding the current pre...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Model parameter estimates and Akaike information criteria for best-fit models for each scenario.<...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
Model selection using Akaike’s information criterion (AICc) across all regions.</p
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
The Akaike information criterion, AIC, is widely used for model selection. Using the AIC as the esti...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
The various debates around model selection paradigms are important, but in lieu of a consensus, ther...
<p>Summary of model selection with corrected Akaike’s Information Criterion (AICc).</p
<p>The model with lowest AIC is chosen *. Dis- Distance.</p><p>AIC (Akaike information criterion) va...
<p>Models selected by various statistical methods. Columns are individual response variables. All mo...
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) ...
<p>Each row specifies the significant increase in goodness of fit obtained by adding the current pre...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Model parameter estimates and Akaike information criteria for best-fit models for each scenario.<...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
Model selection using Akaike’s information criterion (AICc) across all regions.</p
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
The Akaike information criterion, AIC, is widely used for model selection. Using the AIC as the esti...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
The various debates around model selection paradigms are important, but in lieu of a consensus, ther...
<p>Summary of model selection with corrected Akaike’s Information Criterion (AICc).</p
<p>The model with lowest AIC is chosen *. Dis- Distance.</p><p>AIC (Akaike information criterion) va...
<p>Models selected by various statistical methods. Columns are individual response variables. All mo...
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) ...
<p>Each row specifies the significant increase in goodness of fit obtained by adding the current pre...
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