Sentence examples for bootstrap samples were used from inspiring English sources

In both cases, 1000 samples (of three times 50 iris) were generated and for each, 1000 bootstrap samples were used in the resampling method to determine a p-value for the test of homogeneity.

In obtaining bootstrap estimates of the standard errors of each simulation estimate of the population total basal area, 100 bootstrap samples were used; more bootstrap samples might have been used, but some studies of sampling in forest circumstances have suggested that 100 is sufficient (Schreuder et al. 1992; West 2016).

In addition, 500 bootstrap samples were used in the empirical example.

For the c-index and the slope 200 bootstrap samples were used.

Within FPG group, 1,000 bootstrap samples were used to estimate parameter SEs.

The covariance structure software AMOS [ 30] was used to calculate the estimate path coefficients using a bootstrapping method (2000 bootstrap samples were used) [ 31].

Bootstrap samples are used from the data to construct each tree and at each node, a random subset of predictors are tested.

For the interpretation of the results it is most important that all modeling steps are repeated in each bootstrap sample and that the same set of bootstrap samples is used for all strategies.

A total of 10,000 bootstrap samples was used to obtain the 95%% confidence intervals (CIs).

A bootstrapping method (1,000 bootstrap samples) was used to test the statistical significance of FST in each pairwise comparison between populations.

Because of item intercorrelations, only the total indirect effect was interpreted, bias-corrected (BC) Bootstrapping (1000 bootstrap samples) was used for obtaining confidence limits, and bias-corrected and accelerated (BCa) CIs were reported.