Entering edit mode
10.9 years ago
Diana ▴ 900
Can anyone give me a simple explanation of what an approximately unbiased bootstrap is with regards to hierarchical clustering? From what I read, it alters the sample size during randomization to calculate p-values. How is this approach better than the regular bootstrap which keeps the sample size intact while randomizing and also is it randomization with replacement?I'm confused. Please help!
This sounds more like a question to be asked at CrossValidated (http://stats.stackexchange.com).
cross-posted here: http://stats.stackexchange.com/q/31739/183