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We used a non-parametric bootstrap procedure to estimate the relative spatial positions of the two regions of activation (Figure 3).
As we did not use paired sterile and non-sterile replicates, we employed a bootstrap procedure to estimate the net soil biota effect [44].
The final model may still be subjected to enhanced bootstrap procedure to estimate over-optimism.
We used a bootstrap procedure to estimate the mean time per application and the mean time for all applications.
We found that applying a bootstrap procedure to estimate the confidence intervals around these predictive values, yields adequate results for the uncertainty in the estimated predictive values.
We also used a bootstrap procedure to estimate the total number of species as the asymptote of a fitted species-area curve.
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We apply bootstrap procedures to estimate the unknown distribution of expression energy in neuroanatomical regions.
Furthermore, the potential effect of the number of chromosomes on genome heterogeneity was assessed for both organisms, with the use of a bootstrap resampling procedure to estimate the test statistics corresponding to the contingency table "Chromosome × chromosome region".
Bootstrapping is an ideal procedure to estimate the accuracy of a parameter estimator [13].
We applied a bootstrap procedure to obtain approximate representations of the sampling distributions for the measures' SRMs and to estimate their 95% confidence intervals [ 32].
Standard error estimates are provided through a bootstrap procedure to prevent possible estimation bias due to heteroskedasticity.
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