<p>AIC weights, model averaged parameter estimates and unconditional confidence intervals for each variable, ranked by AIC<sub>c</sub> weight.</p
<p>Note: ΔAIC is the difference in AIC value between the top ranked model and the given model. Small...
<p><sup>2</sup> refers to a quadratic term</p><p>X refers to interaction between variables.</p><p>Mo...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
<p>Model averaging based on corrected Akaike Information Criterion (AICc) weight (Wt).</p
<p>β-estimates (±95% CI) are given for each model parameter with bold text denoting 95% CI that do n...
<p>β-estimates (±95% CI) are given for each model parameter with bold text denoting 95% CI that do n...
<p>Model averaged β coefficient, 95% confidence intervals and weights associated with habitat use th...
<p>AIC, delta AIC, and Akaike weight for <i>a priori</i> models. AIC values in bold identify models ...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Given are the coefficients with adjusted standard errors, lower and upper confidence intervals an...
<p>The lower bound for some highly-skewed parameters are not available and labeled as NA.</p><p>Poin...
Variable weights calculated for each explanatory variable in the full models for abundance.</p
<p>Parameter estimates and 95% credible intervals for the categorical variables of the chosen model....
<p>Adjusted SE includes model selection uncertainty (Burnham and Anderson 2002).</p><p>The upper and...
Predictor sum of weights (ordered by), parameter estimates, SE and 95% confidence interval (CI) afte...
<p>Note: ΔAIC is the difference in AIC value between the top ranked model and the given model. Small...
<p><sup>2</sup> refers to a quadratic term</p><p>X refers to interaction between variables.</p><p>Mo...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
<p>Model averaging based on corrected Akaike Information Criterion (AICc) weight (Wt).</p
<p>β-estimates (±95% CI) are given for each model parameter with bold text denoting 95% CI that do n...
<p>β-estimates (±95% CI) are given for each model parameter with bold text denoting 95% CI that do n...
<p>Model averaged β coefficient, 95% confidence intervals and weights associated with habitat use th...
<p>AIC, delta AIC, and Akaike weight for <i>a priori</i> models. AIC values in bold identify models ...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>Given are the coefficients with adjusted standard errors, lower and upper confidence intervals an...
<p>The lower bound for some highly-skewed parameters are not available and labeled as NA.</p><p>Poin...
Variable weights calculated for each explanatory variable in the full models for abundance.</p
<p>Parameter estimates and 95% credible intervals for the categorical variables of the chosen model....
<p>Adjusted SE includes model selection uncertainty (Burnham and Anderson 2002).</p><p>The upper and...
Predictor sum of weights (ordered by), parameter estimates, SE and 95% confidence interval (CI) afte...
<p>Note: ΔAIC is the difference in AIC value between the top ranked model and the given model. Small...
<p><sup>2</sup> refers to a quadratic term</p><p>X refers to interaction between variables.</p><p>Mo...
<p>AICc: Akaike's Information Criterion corrected for small sample size; ΔAICc: variation in AICc re...
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