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For more accuracy, 95%% confidence intervals based on the Bootstrap method was used [14 16].
In the third model, the ECS operates irreversibly, based on the bootstrap air cycle.
Based on the bootstrap method, a threshold can be determined to detect the sustained oscillations with pre-selected probability of false alarm.
Also, a variant of the CPF approach based on the bootstrap sampling (BS) is shown to exhibit good performance in the presence of reduced number of observations.
Furthermore, it was found that the confidence intervals of the parameters determined based on the bootstrap are larger than predicted by traditional methods.
Tracking results are compared to an established algorithm based on the bootstrap method in combination with streamline fiber tractography and to another graph based algorithm.
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Table 2 summarizes the statistical values of the data sets, with a 95%% confidence interval derived by resampling based on the bootstrapping method (Efron and Tibshirani 1994).
Table 1 summarizes the statistical results of the ensembles for each value of (zeta), with a 95%% confidence interval derived by resampling based on the bootstrapping method (Efron and Tibshirani 1994).
Hypothesis testing based on the bootstrap-resampling method is usually recommended when sample sizes (i.e., n T, n R and n P ) are small [ 24] or data structure is sparse (e.g., x T or x R or x P is close to zero or n T, n R and n P, respectively).
The 95% confidence interval based on the bootstrapping analysis confirmed this (€-29€-29€12).
We used 5-fold cross validation to assess the performance of the models elected based on the bootstrapping and random split approaches.
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