Sentence examples for bootstrap techniques were used from inspiring English sources

Parametric bootstrap techniques were used to derive the empirical distribution for each statistic under the hypothesis of homogeneity across areas.

To exploit the richness of the sampling of CCHS 1.1, bootstrap techniques were used to generate confidence intervals associated with the expected costs and excess costs versus normal-weight individuals.

Another important difference between MCFS and RF is that while in the former individual trees are built on training samples drawn without replacement from the original set of samples (and are evaluated on the remaining samples) in the latter bootstrap techniques are used which rely on sampling with replacement.

Consequently, statistical tools (variance analysis, binary tree method coupled with the bootstrap technique) were used to establish a hierarchical classification of the constituents.

Following Hayes (2013), bootstrapping techniques were used to assess the significance of the conditional indirect effect of sex on growth intention.

Bootstrapping techniques were used to calculate distribution ranges in the case of household costs after assessing the non-normality of cost distributions through Shapiro-Wilk tests [36], [37].

Bootstrapping techniques were used to limit overfitting, but the score requires further validation.

Cost-effectiveness acceptability curves based on the net benefit approach and bootstrapping techniques were used to estimate the probability of cost-effectiveness.

For achieving robust estimated results, a bootstrap technique is used.

A semi-parametric bootstrap technique is used to estimate the MSE at each threshold and to select the optimal threshold at which the MSE is minimized.

16Considering the concerns about the reliability of the inferences in DD estimation strategies using OLS standard errors, a bootstrap technique is used to fix-up the standard errors.