Journal
JOURNAL OF APPLIED STATISTICS
Volume 37, Issue 9, Pages 1487-1498Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/02664760903046102
Keywords
random effects model; hierarchical data; nonparametric bootstrapping; resampling schemes; unbalanced data
Categories
Funding
- National Institute on DrugAbuse, United States of America [DA12777]
Ask authors/readers for more resources
Nonparametric bootstrapping for hierarchical data is relatively underdeveloped and not straightforward: certainly it does not make sense to use simple nonparametric resampling, which treats all observations as independent. We have provided some resampling strategies of hierarchical data, proved that the strategy of nonparametric bootstrapping on the highest level (randomly sampling all other levels without replacement within the highest level selected by randomly sampling the highest levels with replacement) is better than that on lower levels, analyzed real data and performed simulation studies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available