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Whilst measured current drive efficiencies are in good agreement with theoretical models, this efficiency is too low to allow economic steady state operation unless very high bootstrap fractions can be realised.
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A mixed fraction can be written numerically.
Moreover, the bootstrap results can be used to analyse the casualty risk estimator from a theoretical point of view.
Alternatively, a bootstrap approach can be followed.
In the latter case, bootstrap support can be misleading.
Bootstrap solutions can be found in 11 and 12.
In principle, the bootstrap strategy can be expanded accordingly.
We developed a nonparametric bootstrap similar to standard bootstraps used for phylogenetic reconstructions, and also a parametric bootstrap that can be scaled to very large genomes.
The bootstrap CoD estimator can be very slow to compute due to the complexity of.
In the context of missing data, the Bayesian bootstrap can be used for multiple imputation.
Non-parametric bootstrap can be applied to all proposed estimation methods.
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