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We apply bootstrap procedures to estimate the unknown distribution of expression energy in neuroanatomical regions.
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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.
In computing q-values, qvality employs a standard bootstrap procedure to estimate the prior probability of a score being from the null distribution; for PEP estimation, qvality relies upon non-parametric logistic regression.
In summary, the significance test procedure was conducted as follows: (1) calculate βD βC from the original sample; (2) conduct the bootstrap procedure to estimate the 1-α percentile bootstrap CI, bias-corrected CI and calculate var βD) and var βC) by four different methods; and (3) reject the null hypothesis if the CI does not include zero or the p value less than the significance level α.
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].
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