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The error for the location of the VT event estimated by the bootstrap method was estimated as 0.62 km in the E W direction, 0.56 km in the N S direction, and 1.1 km in the vertical direction.
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In the present study the BCa bootstrap method was used to estimate the confidence intervals of the prognostic probabilities associated with estimated integer scores [ 14, 15].
In this paper, the bootstrap method was used to estimate the frequency of a signal.
A bootstrap method was incorporated to estimate uncertainty and generate more robust predictions of performance.
The bootstrap method was used to estimate the p-value of this test statistic[ 47, 49].
The ambiguities or gaps were deleted in pairwise manner, and the bootstrap method was used to estimate the variance/standard error using 500 replications.
The bias-corrected and accelerated bootstrap method was used to estimate the 95% confidence intervals of outcome probabilities associated with a scoring system.
The bootstrap method was used to estimate confidence intervals for the difference in health outcome and cost between the two groups.
In particular, the bias-corrected and accelerated (BCa) bootstrap method was used to estimate the 95% confidence intervals of AUC, using one thousand bootstrapped samples generated from original data [ 19].
Bootstrap support values for both methods were estimated using 100 pseudo-replicates.
The 95% confidence intervals for the aROC as well as for the difference between the aROCs of alternative methods were estimated using bootstrap as described above.
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