<p>Models were ranked in ascending order of the <i>RMSE</i>, defined by expression (13). For each metric, indicated are the mean value (among all animals) and in parenthesis the minimal and maximal values (not reported for <i>AICc</i> as they were redundant with the range of <i>AIC</i>). When reported, value inside brackets is the rank of the model for the underlying metric. The model ranking first is highlighted in bold. For animal <i>j</i>, is the minimal value of the objective that was minimized in the individual fits approach (see (8)), divided by the number of time points <i>I<sup>j</sup></i>, and represents the variance of the weighted residuals. <i>AIC</i> and <i>AICc</i> are defined in (11) and (12), <i>AICc<sub>pop</sub></i> is th...
<p>Model performance was measured by AICc, with log(spr.rate) as the response. For all models the ra...
<p>Model definition enumerates the fixed effects considered in the GLMMs. All models included territ...
<p>For the estimate of permutation importance, for each environmental variable in turn, the values o...
<p>Models were ranked in ascending order of the <i>RMSE</i>, defined by expression (13). For each me...
<p>A. Representative examples of all growth models fitting the same growth curve (animal 10 for lung...
<p>Models are presented in descending order of overall mean success (defined in (18)). , defined in ...
<p><i>RMSE (a)</i>: root mean square error of the training set; <i>RMSE (b)</i>: root mean square er...
<p>Shown are the median values within the population and in parenthesis the coefficient of variation...
The main objective of this study was to compare the goodness of fit of five non-linear growth models...
<p>Note: ΔAIC is the difference in AIC value between the top ranked model and the given model. Small...
<p>The models (cumulative Akaike weight < 0.95) used in the model averaging techniques appear in nor...
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
<p>AIC weights, model averaged parameter estimates and unconditional confidence intervals for each v...
<p>The AIC is calculated using , where is the number of parameters and is the maximum likelihood f...
<p>Predictive power of some representative models depending on the number of data points used for es...
<p>Model performance was measured by AICc, with log(spr.rate) as the response. For all models the ra...
<p>Model definition enumerates the fixed effects considered in the GLMMs. All models included territ...
<p>For the estimate of permutation importance, for each environmental variable in turn, the values o...
<p>Models were ranked in ascending order of the <i>RMSE</i>, defined by expression (13). For each me...
<p>A. Representative examples of all growth models fitting the same growth curve (animal 10 for lung...
<p>Models are presented in descending order of overall mean success (defined in (18)). , defined in ...
<p><i>RMSE (a)</i>: root mean square error of the training set; <i>RMSE (b)</i>: root mean square er...
<p>Shown are the median values within the population and in parenthesis the coefficient of variation...
The main objective of this study was to compare the goodness of fit of five non-linear growth models...
<p>Note: ΔAIC is the difference in AIC value between the top ranked model and the given model. Small...
<p>The models (cumulative Akaike weight < 0.95) used in the model averaging techniques appear in nor...
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
<p>AIC weights, model averaged parameter estimates and unconditional confidence intervals for each v...
<p>The AIC is calculated using , where is the number of parameters and is the maximum likelihood f...
<p>Predictive power of some representative models depending on the number of data points used for es...
<p>Model performance was measured by AICc, with log(spr.rate) as the response. For all models the ra...
<p>Model definition enumerates the fixed effects considered in the GLMMs. All models included territ...
<p>For the estimate of permutation importance, for each environmental variable in turn, the values o...