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To solve the problem of filter divergence and further reduce the computational cost, a general statistical interference method, the bootstrap method, is added to the EnKF algorithm.
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;;; accessor methods are added.
Also, a bootstrap method is proposed to obtain critical values.
A bootstrap method is also discussed, and its performance is evaluated through simulations.
Bootstrap method is a nonparametric method which requires no assumptions about the data distribution.
Unfortunately, no bootstrap method is available for rearrangement studies.
In this paper, the bootstrap method was used to estimate the frequency of a signal.
All parameters were kept at their default values when constructing the NJ tree except that a bootstrap method was employed to test the phylogeny by setting the number of bootstrap replications to 1000.
Probabilistic sensitivity analysis with the bootstrap method was used to obtain the 95% confidence interval of the transition probabilities.
Probabilistic sensitivity analysis and the bootstrap method was used to obtain the 95% confidence interval of the transition rates.
Bootstrap method was utilised to calculate the CIs for AUC.
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