Sentence examples for bootstrapped distribution of the from inspiring English sources

Once finished, the bootstrapped distribution of the number of overlaps allows calculating a bootstrapped P-value for the observed number of overlaps under the null (the observed number of overlaps is not larger than that expected by chance) and the alternative (the observed number of overlaps is larger than that expected by chance) hypotheses.

This procedure was repeated independently 200 times, from which we estimated the mean, and the 95%% confidence intervals using the 0.025 % and 0.975 % quantiles of the bootstrapped distribution of the parameters (Efron and Tibshirani 1993).

For each value of r, we therefore obtained a bootstrapped distribution of the χ2 statistic.

Repeating this procedure 1,000 times we generate a bootstrapped empirical distribution of the aROC.

To estimate if this reduction in discrimination time was significant, we used the bootstrapped distribution and estimated the fraction of delays that were lower than 0 and report this as the p-value for the reduction in discrimination time.

Then, 95%% confidence intervals for the corrected prevalence rates were estimated via a bootstrap procedure with 2000 replicates by resampling 166 sample points with replacement from the 167 original sample points [ 21] and using the 2.5 and 97.5 % quantiles of the bootstrapped distribution as the confidence limits.

Error bars on the mean SRTs and disengagement costs were obtained through a bootstrapping analysis (Efron, 1981): On each of 5,000 iterations, the data were resampled with replacement across participants and the group statistic was recomputed; error bars show ±1 standard deviation of the bootstrapped distribution.

All entropy calculations were bootstrapped 200 times and have been presented as mean ± standard deviation over this bootstrapped distribution (i.e., standard error of the entropy) in the text.

Green line shows the data and the black line the bootstrapped distribution obtained after shuffling events 100 times.

The NH3 model improves upon NH2 as its bootstrapped distribution is more centered upon the observed value, which is no longer rejected (p-value = 0.14 and 0.27).

The distribution of the bootstrapped directions around the original one was described by the mean coefficient of correlation and angle.