Computational Algorithms for Double Bootstrap Confidence Intervals. Nankervis, J. C. Comput. Stat. Data Anal., 49(2):461-475, Elsevier Science Publishers B. V., April, 2005. doi bibtex @article{nan05com,
title = {Computational {{Algorithms}} for {{Double Bootstrap Confidence Intervals}}},
volume = {49},
number = {2},
journal = {Comput. Stat. Data Anal.},
doi = {10.1016/j.csda.2004.05.023},
author = {Nankervis, John C.},
month = apr,
year = {2005},
keywords = {bootstrap,confidence-intervals,double-bootstrap},
pages = {461-475},
location = {Amsterdam, The Netherlands, The Netherlands},
publisher = {Elsevier Science Publishers B. V.},
citeulike-article-id = {13893167},
citeulike-attachment-1 = {nan05com.pdf; /pdf/user/harrelfe/article/13893167/1047640/nan05com.pdf; 238da0a36b4a7a27b862e36fbd321c59b366bfb7},
citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.csda.2004.05.023},
posted-at = {2015-12-23 13:45:58},
priority = {0},
annote = {No software provided but excellent algorithm. Shows improved coverage for asymmetric equal-tail confidence intervals for the mean from a lognormal distribution. For the percentile method, single bootstrap gave overall coverage of 0.88 and double 0.93 when n=30.}
}
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