Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) using three-parameter versions of models with four hypothetical aged zero individuals.</p
<p>Age was modeled in three age categories (children, adults, elderly). Based on AIC, the two best m...
<p>Four candidate models with the number of leopard photographic events as the response variable eva...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) ...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Summary of model selection with corrected Akaike’s Information Criterion (AICc).</p
Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) ...
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
<p>Models selected by various statistical methods. Columns are individual response variables. All mo...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>AIC = Akaike information criterion and SBC = Schwarz criterion.</p><p>The six ARIMA models with t...
For covariates with a quadratic term included, the linear term was also included. The AIC Tally is a...
Model selection using Akaike’s information criterion (AICc) across all regions.</p
<p>Model parameter estimates and Akaike information criteria for best-fit models for each scenario.<...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>Age was modeled in three age categories (children, adults, elderly). Based on AIC, the two best m...
<p>Four candidate models with the number of leopard photographic events as the response variable eva...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) ...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Summary of model selection with corrected Akaike’s Information Criterion (AICc).</p
Summary of results from the multi model approach incorporating Akaike’s information Criterion (AIC) ...
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models ...
<p>Models selected by various statistical methods. Columns are individual response variables. All mo...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>AIC = Akaike information criterion and SBC = Schwarz criterion.</p><p>The six ARIMA models with t...
For covariates with a quadratic term included, the linear term was also included. The AIC Tally is a...
Model selection using Akaike’s information criterion (AICc) across all regions.</p
<p>Model parameter estimates and Akaike information criteria for best-fit models for each scenario.<...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>Age was modeled in three age categories (children, adults, elderly). Based on AIC, the two best m...
<p>Four candidate models with the number of leopard photographic events as the response variable eva...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...