<p>Log likelihoods (LL), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) of alternative model specifications.</p
The Akaike information criterion, AIC, is widely used for model selection. Using the AIC as the esti...
<p>Model parameter estimates and Akaike information criteria for best-fit models for each scenario.<...
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
<p>Akaike information criterion and log-likelihood values for the analysed variables.</p
<p>Model comparison criteria based on AIC and Log likelihood test for different survival models.</p
AIC: Akaike information criterion; PEP: protected exceedance probability; BIC: Bayesian information ...
Values of the proposed criterion C for each K, with other criteria, −2log likelihood (−2log L), AIC ...
A bias-corrected Akaike information criterion AICC is derived for self-exciting threshold autoregres...
The Akaike information criterion, AIC, and its corrected version, AIC c are two methods for selectin...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
<p>Bayesian information criterion (BIC) values are compared between several sub-models of the RDM. E...
AIC and BIC values shown here are relative to the intercept-only model. Therefore, negative numbers ...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
The Akaike information criterion, AIC, is widely used for model selection. Using the AIC as the esti...
<p>Model parameter estimates and Akaike information criteria for best-fit models for each scenario.<...
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
<p>Akaike information criterion and log-likelihood values for the analysed variables.</p
<p>Model comparison criteria based on AIC and Log likelihood test for different survival models.</p
AIC: Akaike information criterion; PEP: protected exceedance probability; BIC: Bayesian information ...
Values of the proposed criterion C for each K, with other criteria, −2log likelihood (−2log L), AIC ...
A bias-corrected Akaike information criterion AICC is derived for self-exciting threshold autoregres...
The Akaike information criterion, AIC, and its corrected version, AIC c are two methods for selectin...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
<p>Bayesian information criterion (BIC) values are compared between several sub-models of the RDM. E...
AIC and BIC values shown here are relative to the intercept-only model. Therefore, negative numbers ...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
The Akaike information criterion, AIC, is widely used for model selection. Using the AIC as the esti...
<p>Model parameter estimates and Akaike information criteria for best-fit models for each scenario.<...
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
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