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Empirical p values of the bootstrap procedure for the training (black) and the test (gray) period and lags (tau =1,ldots,24).
By following the same bootstrap procedure for the singly mated female, and then subtracting the latter from the former, we obtained a bootstrap replicate of the difference in average number of offspring produced per mating treatment.
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Using the sample replicates, we propose a bootstrap procedure for inferring the significance of contributions on the leading dimensions by both the time-course experiments and the genes.
Because our burden statistic may not have mean zero after screening, we develop a novel bootstrap procedure for assessing the significance of the burden statistic.
Using a n = 200 samples bootstrap procedure for internal validation [ 33] the performance of each developed model was tested in similar populations as in the derivation sample.
The bootstrap procedure for computing MMD statistics proposed in [ 21] has strong theoretical guarantees for discriminating between different distributions, given sufficient number of samples (i.e. reads mapped to a peak).
We apply the proposed bootstrap procedure for constructing confidence intervals for conditional association measures, such as a conditional Blomqvist beta and a conditional Kendall's tau.
A confidence value provided by a standard bootstrap procedure for each in-paralog shows how closely related it is to the main ortholog.
In addition, the presented results lead to improvements of accuracy of a bootstrap procedure for general log-likelihood ratio statistics (under certain regularity conditions).
The main aim of this work is to demonstrate a procedure based on bootstrapping, specifically the.632 bootstrap procedure, for evaluating inductive methods that discover patterns, such as FTSs.
In this paper we propose a bootstrap procedure for approximating these distributions and their characteristics, and establish its consistency.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com