Akaike information criteria (AIC) for multivariate regression and multiple linear regression models adjusted to different amino acids.</p
<p>Akaike information criterion and log-likelihood values for the analysed variables.</p
<p>Models selected by various statistical methods. Columns are individual response variables. All mo...
<p>Log likelihoods (LL), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC)...
<p>Table of Akaike Information Criterion (AIC) and Adjusted R<sup>2</sup> values for the different p...
The Akaike information criterion, AIC, and its corrected version, AIC c are two methods for selectin...
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
<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) ...
Estimation of the expected Kullback-Leibler information is the basis for deriving the Akaike informa...
The Akaike information criterion, AIC, and the Mallows ' Cp criterion have been pro-posed as ap...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<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...
The underlined entry of each row is the minimal value of AIC attained for that dataset. Values in br...
<p>Two methods examined are regression analyses on the log-linear and log-log plots.</p
<p>Akaike information criterion and log-likelihood values for the analysed variables.</p
<p>Models selected by various statistical methods. Columns are individual response variables. All mo...
<p>Log likelihoods (LL), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC)...
<p>Table of Akaike Information Criterion (AIC) and Adjusted R<sup>2</sup> values for the different p...
The Akaike information criterion, AIC, and its corrected version, AIC c are two methods for selectin...
<p>The Akaike information criterion (AICc) values for regression models investigating the effects of...
<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) ...
Estimation of the expected Kullback-Leibler information is the basis for deriving the Akaike informa...
The Akaike information criterion, AIC, and the Mallows ' Cp criterion have been pro-posed as ap...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<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...
The underlined entry of each row is the minimal value of AIC attained for that dataset. Values in br...
<p>Two methods examined are regression analyses on the log-linear and log-log plots.</p
<p>Akaike information criterion and log-likelihood values for the analysed variables.</p
<p>Models selected by various statistical methods. Columns are individual response variables. All mo...
<p>Log likelihoods (LL), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC)...