Sentence examples for bootstrap tests based on from inspiring English sources
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).
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].
Our methodology can further be used in tests based on parametric bootstrap.
We carried out simple tests based on the bootstrap method to investigate whether our estimates could be equal to the DRG tariffs, and our results showed that the estimates we get from our cost data could not be said to be different from the national DRG tariffs.
We propose a new method of testing stochastic dominance that improves on existing tests based on the standard bootstrap or subsampling.
We show that the asymptotic tests do not admit pivotal asymptotic null distributions in the presence of heteroskedasticity, but that the corresponding tests based on the wild bootstrap principle do.
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).
