Sentence examples for bootstrap estimation was used from inspiring English sources

STATA bootstrap estimation was used to estimate 95% confidence intervals.

To improve training prediction accuracy, iterative bootstrap aggregation, or bagging, combined with out of bag error estimation was used to reduce the training variance [ 53].

Stepwise estimation was used.

The results based on bootstrap variance estimation were used to interpret the effect of each independent variable adjusting for other covariates as described below.

A bootstrap variance estimation procedure was used for statistical analysis of the weighted estimates.

If the bootstrap estimation is roughly correct, then aggregating would reduce variance without increasing bias.

Bootstrap resampling was used to calculate the 95% confidence intervals associated to the estimated precision accuracy using the percentile estimation method [21].

Resampling of differential travel times was conducted 2000 times, and the 95%% bootstrap confidence interval was used as the estimation error.

Bootstrap technic was used to compute the confidence intervals.

Bootstrap technic was used to compute confidence interval (CI).

A Bootstrap replication method was used that made appropriate use of these longitudinal bootstrap weights for the variance estimation of regression estimates.