Using the Bootstrap to Quantify the Authority of an Empirical Ranking. Hall, P. & Miller, H. *Ann Stat*, 37(6B):3929-3959, 2009. bibtex @article{hal09usi,
title = {Using the Bootstrap to Quantify the Authority of an Empirical Ranking},
volume = {37},
number = {6B},
journal = {Ann Stat},
author = {Hall, Peter and Miller, Hugh},
year = {2009},
keywords = {genomics,ranks,confidence-interval-for-ranks,high-dimension,independent-component-bootstrap,m-out-of-n-bootstrap,ordering,overlap-interval,prediction-interval,synchronous-bootstrap},
pages = {3929-3959},
citeulike-article-id = {13265787},
posted-at = {2014-07-14 14:10:04},
priority = {0},
annote = {ordinary bootstrap may not provide accurate confidence intervals for ranks;may need a different bootstrap if the number of parameters being ranked increases with n or is large;estimating m is difficult;in their first example, where m=0.355n, the ordinary bootstrap provided a lower bound to the lengths of more accurate confidence intervals of ranks;see hal09gen}
}

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