Sentence examples for bootstrap samples are calculated from inspiring English sources

The mean values of bootstrap samples are calculated and sequenced as follows: omega_{(1)} le omega_{(2)} le cdots le omega_{(B)}.

The consensus bipartitions for 100 bootstrap samples were calculated using the CONSENSE program of the PHYLIP package (Felsenstein 1993).

To obtain the distribution denoting the difference in PSI, or ΔPSI, the difference between bootstrap samples was calculated for all pairs of tissues to generate a distribution in the same manner.

To investigate the assumption of negligible standard error of expected survival and negligible correlation between absolute and expected survival, standard errors for non-standardised expected survival were estimated by bootstrapping, and Pearson's correlation coefficients of the point estimates of non-standardised absolute and expected survival in the bootstrap samples were calculated.

The mean costs in each bootstrap sample were calculated for both groups, together with the difference between the two mean costs.

Bootstrapping with 1,000 bootstrap samples was also used to calculate the CI of differences between Brier scores.

Empirical power (calculated using 1000 bootstrap samples) was 85% for this comparison, and on average 33% (range 13 43) for the non-significant comparisons.

One hundred bootstrap samples were generated for each gene family using the SEQBOOT program of the PHYLIP package (Felsenstein 1993), and distance matrices were calculated for each bootstrap sample in Tree-Puzzle version 5.2 using shape parameters estimated for the original alignment (see above).

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

One thousand bootstrap samples were taken from the original sample with replacement, and a value of T calculated in each bootstrap sample, denoted for the ith bootstrap sample.

The CIs of regression coefficient estimates from the bootstrap sampling were comparable with the values calculated by the GEE regression analysis, supporting the internal validity of the model.> -wrap-foot> A risk scoring system was then developed from the point estimates of the regression coefficients and the intercept generated from the analysis.