<p>The model with lowest AIC is chosen *. Dis- Distance.</p><p>AIC (Akaike information criterion) values for GLMs with different breakpoints.</p
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
<p>AIC = Akaike information criterion and SBC = Schwarz criterion.</p><p>The six ARIMA models with t...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>Models tested using the GLM procedure and the associated Akaike Information Criterion (AIC) obtai...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
Model selection using Akaike’s information criterion (AICc) across all regions.</p
<p>Akaike information criterion (AIC) value for high ranked models of primates' density (λ) and the ...
The Akaike information criterion, AIC, is widely used for model selection. Using the AIC as the esti...
The best model is the one with the lowest AIC, has only HW as the best predictor of Inf. (DOCX)</p
<p>For each model, the sample-size adjusted AIC (AICc), Akaike differences (ΔAIC), Akaike weights (w...
<p>The distribution of Akaike’s Information Criterion (<i>AIC</i>) across conditions (identified bot...
<p>Best models according to Akaike Information Criterion corrected for small sample bias (AICc).</p
The underlined entry of each row is the minimal value of AIC attained for that dataset. Values in br...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
<p>AIC = Akaike information criterion and SBC = Schwarz criterion.</p><p>The six ARIMA models with t...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>Models tested using the GLM procedure and the associated Akaike Information Criterion (AIC) obtai...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
Model selection using Akaike’s information criterion (AICc) across all regions.</p
<p>Akaike information criterion (AIC) value for high ranked models of primates' density (λ) and the ...
The Akaike information criterion, AIC, is widely used for model selection. Using the AIC as the esti...
The best model is the one with the lowest AIC, has only HW as the best predictor of Inf. (DOCX)</p
<p>For each model, the sample-size adjusted AIC (AICc), Akaike differences (ΔAIC), Akaike weights (w...
<p>The distribution of Akaike’s Information Criterion (<i>AIC</i>) across conditions (identified bot...
<p>Best models according to Akaike Information Criterion corrected for small sample bias (AICc).</p
The underlined entry of each row is the minimal value of AIC attained for that dataset. Values in br...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
<p>AIC = Akaike information criterion and SBC = Schwarz criterion.</p><p>The six ARIMA models with t...
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