<p>Median and sum differences in Akaike’s Corrected Information Criteria (AICc) between each model and the best fitting model (power with spatial window) are reported, sorted by median difference.</p
a<p>The names of the 8 models (Mod1-8) in the comparison test.</p>b<p>The estimated AICM score of th...
<p>Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).</p
AIC: Akaike information criterion; PEP: protected exceedance probability; BIC: Bayesian information ...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>Best models according to Akaike Information Criterion corrected for small sample bias (AICc).</p
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>AIC<sub>c</sub> is Akaike’s information criterion corrected for small sample size, δAIC<sub>c</su...
<p>Note: ΔAIC and ΔBIC represent the difference in AIC or BIC as compared with the best equation. Th...
<p>Models are ranked in order of their AIC (Akaike Information Criterion) scores, and other ranking ...
a<p>The names of the 11 models (Flyway model and Ran1-10) in the comparison test: Model1 is the non-...
<p>Summary of model selection with corrected Akaike’s Information Criterion (AICc).</p
<p>In the first row of the table, <i>n</i> represents the number of data sets that best fit a partic...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
a<p>The names of the 8 models (Mod1-8) in the comparison test.</p>b<p>The estimated AICM score of th...
<p>Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).</p
AIC: Akaike information criterion; PEP: protected exceedance probability; BIC: Bayesian information ...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>Best models according to Akaike Information Criterion corrected for small sample bias (AICc).</p
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>AIC<sub>c</sub> is Akaike’s information criterion corrected for small sample size, δAIC<sub>c</su...
<p>Note: ΔAIC and ΔBIC represent the difference in AIC or BIC as compared with the best equation. Th...
<p>Models are ranked in order of their AIC (Akaike Information Criterion) scores, and other ranking ...
a<p>The names of the 11 models (Flyway model and Ran1-10) in the comparison test: Model1 is the non-...
<p>Summary of model selection with corrected Akaike’s Information Criterion (AICc).</p
<p>In the first row of the table, <i>n</i> represents the number of data sets that best fit a partic...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
a<p>The names of the 8 models (Mod1-8) in the comparison test.</p>b<p>The estimated AICM score of th...
<p>Comparisons of model fit statistics between 2-factor and 3-factor models (n = 296).</p
AIC: Akaike information criterion; PEP: protected exceedance probability; BIC: Bayesian information ...