<p><sup>1</sup> Results inferred from Akaike Information Criterion (AIC)</p><p>Goodness-of-fit of the regression models between Mahalanobis distance to the ENC and burrow abundance of <i>Gopherus flavomarginatus</i>.</p
<p>Relationship between the observed abundance (burrows/Km<sup>2</sup>) of <i>Gopherus flavomarginat...
<p>Compassion of model parsimony using Akaike’s Information Criterion corrected for small sample siz...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
<p>Validation for the Inverse Regression Model between Mahalanobis distance to the ENC and burrow ab...
Ecologists are increasingly applying model selection to their data analyses, primarily to compare re...
<p>Akaike information criterion (AIC) value for high ranked models of primates' density (λ) and the ...
<p>2log likelihood is the overall fit of each model, <i>K</i> is the number of parameters in each mo...
<p>Shown are information criteria for fit of models including the fixed and random effects of (A) <i...
Columns marked with an ‘X’ indicate features included in the models. The most parsimonious models ar...
<p>Akaike Information Criterion, with finite sample size correction (AICc), for distribution models ...
LnL = log-likelihood score for the model. k = number of parameters, d = dispersal rate, e = extincti...
<p>Log-likelihood ln(L), Akaike information criterion corrected for sample size (AICc), difference i...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>Models: Null model (NULL), generalized linear model (GLM) and logistic model with four parameters...
<p>Only the top five models with Akaike weight (<i>w<sub>i</sub></i>) and R<sup>2</sup> values are s...
<p>Relationship between the observed abundance (burrows/Km<sup>2</sup>) of <i>Gopherus flavomarginat...
<p>Compassion of model parsimony using Akaike’s Information Criterion corrected for small sample siz...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
<p>Validation for the Inverse Regression Model between Mahalanobis distance to the ENC and burrow ab...
Ecologists are increasingly applying model selection to their data analyses, primarily to compare re...
<p>Akaike information criterion (AIC) value for high ranked models of primates' density (λ) and the ...
<p>2log likelihood is the overall fit of each model, <i>K</i> is the number of parameters in each mo...
<p>Shown are information criteria for fit of models including the fixed and random effects of (A) <i...
Columns marked with an ‘X’ indicate features included in the models. The most parsimonious models ar...
<p>Akaike Information Criterion, with finite sample size correction (AICc), for distribution models ...
LnL = log-likelihood score for the model. k = number of parameters, d = dispersal rate, e = extincti...
<p>Log-likelihood ln(L), Akaike information criterion corrected for sample size (AICc), difference i...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>Models: Null model (NULL), generalized linear model (GLM) and logistic model with four parameters...
<p>Only the top five models with Akaike weight (<i>w<sub>i</sub></i>) and R<sup>2</sup> values are s...
<p>Relationship between the observed abundance (burrows/Km<sup>2</sup>) of <i>Gopherus flavomarginat...
<p>Compassion of model parsimony using Akaike’s Information Criterion corrected for small sample siz...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...