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The robustness of the nodes was assessed by a bootstrap analysis involving 1000 pseudo replicates of the original matrix.
Our analysis involved the following steps.
Validation of the tree branching was done with bootstrap analysis [80] involving 1,000 reiterations with re-sampled data sets.
For dataset 3 we additionally performed a maximum parsimony (MP) bootstrap analysis in PAUP*, involving 1000 replicates and treating gaps as missing data.
Sometimes the analysis involves real X-rays.
Now we are ready to employ retrospective and bootstrap analysis on the data sample.
Bootstrapping Bootstrapping involves the generation of replicate data by means of re-sampling (Efron and Tibshirani, 1993).
The repayment time computed using bootstrap analysis fluctuates around the line obtained by using retrospective analysis.
A bootstrap analysis further confirmed the mediating role of customer trust, shown in Table 5.
For bootstrap analysis, the boot package was used.
A rapid bootstrap analysis and search for the best-scoring ML tree was conducted with 1,000 bootstrap replicates.
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