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In this paper, the bootstrap method was used to estimate the frequency of a signal.
In this paper, the "bootstrap" method was used to derive the confidence limits of the composite distribution for the revised methodology, as well as for the original GV methodology, illustrated by data from Onslow and Brisbane in Australia.
Probabilistic sensitivity analysis with the bootstrap method was used to obtain the 95% confidence interval of the transition probabilities.
Probabilistic sensitivity analysis and the bootstrap method was used to obtain the 95% confidence interval of the transition rates.
For more accuracy, 95%% confidence intervals based on the Bootstrap method was used [14 16].
A bootstrap method was used to select the best subset of risk factors to avoid overfitting the data.
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A bootstrap method is used to evaluate the stability of the solution.
Finally, a bootstrap method is used to determine the influence of the response error on the estimated probability of failure.
The Threshold Bootstrap method is used to model the residential load demand and to produce many realistic load profiles.
In addition, the bootstrap method is used to assess the reliability of the network predictions by estimating confidence intervals associated with the results.
Bootstrap method is used to resample the residues with replacement for each θ from the calculated residues.
More suggestions(19)
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