Sentence examples for bootstrap samples were generated from inspiring English sources

Bootstrap samples were generated by randomly sampling daughters with replacement, yet keeping the number of daughters constant per family.

A phylogenetic tree was generated with the neighbor-joining method and 1,000 bootstrap samples were generated to assess support for the inferred relationships.

One hundred bootstrap samples were generated using the SEQBOOT program [51].

One thousand bootstrap samples were generated from the complete data and the mean and standard deviation of each sample was used for parameter estimation.

Per model, 20 bootstrap samples were generated, making sure that the same percentages of missingness as in the original sample were attained.

One hundred bootstrap samples were generated for e using SEQBOOT in PHYLIP [51], and were subsequently analyzed with PhyML [49] (JTT model, gamma distribution with eight categories plus invariant sites) and finally with CONSENSE [51] to generate an unrooted bootstrapped tree.

Therein, bootstrap samples are generated and the sample estimates of CV, skewness, and kurtosis (represented as ({hat gamma }_{2}), ({hat gamma }_{3}) and ({hat gamma }_{4}), respectively) are calculated in order to generate the "concentration ellipse" to graph on the moment ratio diagrams.

Non-parametric bootstrap samples are generated from the original data set by drawing with replacement.

In the following we assume that a total of M bootstrap samples is generated for each of the compared conditions.

The bootstrap samples are generated by adding noise, drawn from the assumed distribution D, to a simulated output of a given model.

The datasets are aligned with ClustalW [ 29], and 100 bootstrap samples are generated using the SEQBOOT program from the PHYLIP package version 3.6a2.1 [ 30].