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(A.5) Equation (A.5) is a starting point for a bootstrap argument which plays an important role in (L^{infty} -estimates.
Approach 1 ensured that for a bootstrap draw, the samples from each imputed data set differed only by the imputed values as in the original data sets.
[ 2011], it is possible that single loci do not contain sufficient information for a bootstrap based correction; the corrected estimates tended to be biased in the opposite direction, suggesting the method was over‐correcting.
We retrieved the orthologous sequence pairs from InParanoid [ 46] (Version 3.0; updated 15, August 2004) for a bootstrap value of 100% and a score of 1.00 in each cluster.
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For generation of a bootstrap consensus tree, ClustalW alignment and neighbour-joining analysis (100 replicates) were performed with MEGA5.
For example, going from a bootstrap company into a company that can scale is a tricky discipline.
For a bootstrapped startup the tech is pretty impressive.
In the next section, a possible measure of spread for 3-D rotations is introduced and the steps for obtaining a bootstrap confidence interval are outlined.
Although there are many ways to use the bootstrap for hypothesis testing, the method of Walters and Campbell 42 for computing a bootstrap p-value corresponding to the observed value of a test statistic T was used.
For comparison, a bootstrap randomization method was used.
The process for initiating a bootstrap job is very similar to that of the above step, starting an execute job.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com