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The nonface dateset is depleted since the bootstrap strategy is used in training the cascade of classifiers.
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The bootstrap strategy is to use pilot data to a provide a non-parametric estimate of F and to use a simulation method for finding the power of the test associated with any specified sample size n if the data follow the estimated distribution functions under the null and alternative hypotheses.
If spatial skills, like finger counting and other spatial strategies, are used to bootstrap mathematics, then improving or capitalizing on spatial abilities may improve mathematical learning.
Two cloning strategies were used.
For the interpretation of the results it is most important that all modeling steps are repeated in each bootstrap sample and that the same set of bootstrap samples is used for all strategies.
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.
For achieving robust estimated results, a bootstrap technique is used.
A residual-based bootstrap is used to find critical values.
A randomization strategy (bootstrapping) was used to determine the statistical significance of ChIP-chip and ChIP-seq distributions across exons and introns.
A backward elimination model building strategy on 1,000 bootstrapped data was used to select the best performing biomarkers for further consideration in a logistic regression model for diagnosis of ARDS.
Bootstrap technic was used to compute the confidence intervals.
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