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A bootstrap technique was used to assess the reliability of the tree topology.
To validate the results, the bootstrap technique was used [ 19].
In this paper a bootstrap technique was used to compute the confidence intervals of prognostic probabilities when designing and selecting competing scoring systems.
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For achieving robust estimated results, a bootstrap technique is used.
A semi-parametric bootstrap technique is used to estimate the MSE at each threshold and to select the optimal threshold at which the MSE is minimized.
16Considering the concerns about the reliability of the inferences in DD estimation strategies using OLS standard errors, a bootstrap technique is used to fix-up the standard errors.
Consequently, statistical tools (variance analysis, binary tree method coupled with the bootstrap technique) were used to establish a hierarchical classification of the constituents.
This paper has presented a methodology for the estimation of a sufficient number of images for a specific feature set using the standard deviation of the detection rate obtained by the classifier as a criterion (a Bootstrap technique is used for that purpose); the general methodology presented can nonetheless be extended and applied to other feature sets.
Additional bootstrapping technique was used to check the distribution and uncertainty of eluotropic estimates, proving very similar confidence intervals to linear regression.
While our effect estimates indicate the presence of associations between the other health domains studied and re-incarceration, when a bootstrapping technique was used to account for over-fitting, the contribution of these domains to predicting return to custody was less clear.
The bootstrapping technique was used in this study instead of splitting the data into development and validation data set because this method is regarded as most data 'efficient' and accurate in developing a prognostic model [25].
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