<p>Comparison of three models of contact function (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094622#pone.0094622.e018" target="_blank">equations 4</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094622#pone.0094622.e019" target="_blank">5</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094622#pone.0094622.e025" target="_blank">6</a>) by the Akaike Information Criterion (AIC) and the relative likelihood (RL) of the models.</p
Akaike Information Criterion (AIC) has been used widely as a statistical criterion to compare the ap...
<p>Models are ranked in order of their AIC (Akaike Information Criterion) scores, and other ranking ...
We compare properties of parameter estimators under Akaike information criterion (AIC) and 'consiste...
<p>(A) Model based on all contacts with relative susceptibility of over-18s, <i>α</i>, equal to one....
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
<p>Log-likelihood (<i>L</i>) and number of estimated parameters (<i>P</i>) are given for the differe...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p><b>NP</b>: number of parameters. Branch numbers refer to the branches from the tree in <a href="h...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>Akaike information criterion (AIC) value for high ranked models of primates' density (λ) and the ...
<p>Models compared are Poisson, Negative Binomial (NB), Zero-Inflated Poisson (ZIP), Zero-Inflated N...
Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) ...
Akaike Information Criterion (AIC) has been used widely as a statistical criterion to compare the ap...
<p>Models are ranked in order of their AIC (Akaike Information Criterion) scores, and other ranking ...
We compare properties of parameter estimators under Akaike information criterion (AIC) and 'consiste...
<p>(A) Model based on all contacts with relative susceptibility of over-18s, <i>α</i>, equal to one....
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
<p>Log-likelihood (<i>L</i>) and number of estimated parameters (<i>P</i>) are given for the differe...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p><b>NP</b>: number of parameters. Branch numbers refer to the branches from the tree in <a href="h...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>Akaike information criterion (AIC) value for high ranked models of primates' density (λ) and the ...
<p>Models compared are Poisson, Negative Binomial (NB), Zero-Inflated Poisson (ZIP), Zero-Inflated N...
Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) ...
Akaike Information Criterion (AIC) has been used widely as a statistical criterion to compare the ap...
<p>Models are ranked in order of their AIC (Akaike Information Criterion) scores, and other ranking ...
We compare properties of parameter estimators under Akaike information criterion (AIC) and 'consiste...