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There are several types of bootstrap confidence intervals available, e.g., the normal, percentile, and bias-corrected intervals, etc.
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Moreover, with this method, only a bootstrap confidence interval is available though the bootstrap coverage probability is not always acceptable for optimal thresholds [ 6].
DiCiccio, T. J. & Efron, B. Bootstrap confidence intervals.
Values in parentheses are 95% nonparametric bootstrap confidence intervals.
The shaded regions represent 95% bootstrap confidence intervals.
Interval estimates of the population size are obtained by means of Wald and bootstrap confidence intervals.
Bootstrap confidence intervals and sensitivity analysis of these model parameters are presented.
Fig. 6 95% bootstrap confidence intervals for global weights.
All randomization p-values and bootstrap confidence intervals were based on at least 1,000 permutations/bootstraps.
Bootstrap confidence intervals are computationally demanding.
All 95% bootstrap confidence intervals overlapped.
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