Sentence examples for bootstrap test based on from inspiring English sources

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The F-score achieved by this new method for the BioCreative 2 test corpus is 88.30, much higher than ours and the rank one entry in BioCreative 2. Our bootstrap test based on random re-sampling of 5000 test sentences with replacement for 10 000 times showed that this result is statistically significant with a p-value equal to 0.0123 compared to the rank one entry and 0.0000 compared to our entry.

Phylograms were constructed by Mega4.1 using the Minimum Evolution method with a bootstrap test based on 5000 replicates, and the Poisson correction method [5].

The trees were evaluated using the bootstrap test based on 1000 replicates.

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For a hypothesis testing problem about the underlying population mean, we show that the bootstrap tests based on the ET estimators of the DF are asymptotically normal and exhibit a small bias of order O(n−1).

Additionally, we evaluate the finite-sample behavior of two bootstrap quasi-t tests: the test based on a single bootstrapping scheme and the test based on a double, nested bootstrapping scheme.

Also a nonparametric hypothesis test, based on Bootstrap resampling, is used to determine whether the presence of the EMD block actually improves the performance.Results: The results show an outstanding specificity when the EMD block is used, even in very noisy conditions (0.96 compared to 0.72 for SNR = 8 dB), being always superior than that of the conventional SM alone.

The Wilcoxon signed rank test based on bootstrapping data showed that the improvement of F-measure (SSVMs over CRFs) was statistically significant (p-value < 0.05).

As a matter of fact, a resampling test based on 10,000 bootstrap samples gave a p-value of 0. Details of the resamlping methods can be found in the next subsection.

In addition to the bootstrap probability and the KH test, a test based on Bayesian posterior probability (BPP) has been carried out.

To assess whether the mean F-measures of both NER systems (using SSVMs or CRFs) are statistically significantly different, we further conducted a statistical test based on results from bootstrapping.

Our methodology can further be used in tests based on parametric bootstrap.

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