<p><i>A:</i> Group mean residual error against mean perturbation size. Error bars are SEM between subjects. Fits are are linear regressions to the mean data. <i>B:</i> Each panel reports the mean residual error against mean perturbation size for a single subject, for Low-uncertainty (blue) and High-uncertainty (red) trials. Error bars are SEM between trials. Fits are linear regressions to the individual data. For both panels each subject’s data have been shifted so as to remove the mean residual error for the 0 perturbation condition for that subject.</p
<p>(A) Emotional conflict adaptation results in the weakly masked group. (B) Emotional conflict adap...
A number of different kinds of residuals are used in the analysis of generalized linear models. Gene...
<p>Estimated mean prediction error, as a percentage of the standard deviation of the response variab...
<p><i>A:</i> Mean absolute residual error (mean ± SE across subjects; residual errors are computed a...
<p>Each circle represents the slope of the mean residual error (<a href="http://www.plosone.org/arti...
<p><b>A</b>) Learning the mean of a perturbation during the first perturbation block for a typical s...
<p>Red lines show the distribution of errors from RE estimation, while the blue lines show the distr...
<p>The results for model A (A) and for model B (B) are shown. The residuals of model A show a clear ...
Equality of residual variances across groups is one of the necessary conditions of measurement invar...
<p>a) Performance on absolute (red) and relative (black) abundances as a function of sample size for...
<p><b>A</b> displays the variance (group mean and standard error of the mean, SEM) calculated in the...
Comparison of mean estimation error performance across trial conditions in A) the discovery and B) t...
<p>In this figure we show that subjects are able to discern the different levels of uncertainty adde...
<p>Mean and standard errors across participants of the biases for each condition in Experiments 1, 2...
<p>Mean root-mean-square errors (RMS; upper panel, lower panel) or very large errors (VLEs; middle p...
<p>(A) Emotional conflict adaptation results in the weakly masked group. (B) Emotional conflict adap...
A number of different kinds of residuals are used in the analysis of generalized linear models. Gene...
<p>Estimated mean prediction error, as a percentage of the standard deviation of the response variab...
<p><i>A:</i> Mean absolute residual error (mean ± SE across subjects; residual errors are computed a...
<p>Each circle represents the slope of the mean residual error (<a href="http://www.plosone.org/arti...
<p><b>A</b>) Learning the mean of a perturbation during the first perturbation block for a typical s...
<p>Red lines show the distribution of errors from RE estimation, while the blue lines show the distr...
<p>The results for model A (A) and for model B (B) are shown. The residuals of model A show a clear ...
Equality of residual variances across groups is one of the necessary conditions of measurement invar...
<p>a) Performance on absolute (red) and relative (black) abundances as a function of sample size for...
<p><b>A</b> displays the variance (group mean and standard error of the mean, SEM) calculated in the...
Comparison of mean estimation error performance across trial conditions in A) the discovery and B) t...
<p>In this figure we show that subjects are able to discern the different levels of uncertainty adde...
<p>Mean and standard errors across participants of the biases for each condition in Experiments 1, 2...
<p>Mean root-mean-square errors (RMS; upper panel, lower panel) or very large errors (VLEs; middle p...
<p>(A) Emotional conflict adaptation results in the weakly masked group. (B) Emotional conflict adap...
A number of different kinds of residuals are used in the analysis of generalized linear models. Gene...
<p>Estimated mean prediction error, as a percentage of the standard deviation of the response variab...