<p>The AIC model comparison analysis of the ordinal logistic models (L<sub>n</sub>).</p
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
The two group between subjects design is pervasive with analyses often performed using the Mann Whit...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<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 ...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>The comparison of estimates of the logistic regression model with the significant selected factor...
<p>Values with the 0-m buffer were based on calculations generated without buffers. Bold text denote...
The unadjusted multinomial logistic model estimation to assess the factors of ANC contacts.</p
<p>Models compared are Poisson, Negative Binomial (NB), Zero-Inflated Poisson (ZIP), Zero-Inflated N...
Multinomial logistic model estimation to identify the determinants of ANC contacts.</p
SIGLEAvailable from British Library Document Supply Centre- DSC:7769.086(SU-DPS-RR--416/93) / BLDSC ...
Model comparison between logistic regression and mixed effect logistic regression.</p
Model comparison between logistic regression and mixed effect Logistic regression.</p
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
The two group between subjects design is pervasive with analyses often performed using the Mann Whit...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<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 ...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>The comparison of estimates of the logistic regression model with the significant selected factor...
<p>Values with the 0-m buffer were based on calculations generated without buffers. Bold text denote...
The unadjusted multinomial logistic model estimation to assess the factors of ANC contacts.</p
<p>Models compared are Poisson, Negative Binomial (NB), Zero-Inflated Poisson (ZIP), Zero-Inflated N...
Multinomial logistic model estimation to identify the determinants of ANC contacts.</p
SIGLEAvailable from British Library Document Supply Centre- DSC:7769.086(SU-DPS-RR--416/93) / BLDSC ...
Model comparison between logistic regression and mixed effect logistic regression.</p
Model comparison between logistic regression and mixed effect Logistic regression.</p
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
The two group between subjects design is pervasive with analyses often performed using the Mann Whit...
DOI
Add to ORKG