The bootstrap estimate of δ i , calledδ i is the mean of the B estimates on the individual datasets: Bootstrap estimation can be used to compute the standard error of δ i : Instead of building one matrix of average distances over N trials, we could build N matrices and compute the variance from there rather than with bootstrap methods.
this second methodology produces noisier results.