(little correction below) > Dear list, > > This is off-topic, but perhaps there is an expert out there who can help > me in > a bootstrapping test. > > I have two samples A, B from, say, a normal distribution. A third sample R > is the vector of pairwise minima of the same random variables: > > A = rnorm(100) > B = rnorm(100) > > A2 = rnorm(100) > B2 = rnorm(100) > R = pmin(A2, B2) > > For some purposes, I want to do some bootstrapping. From A and B, this > should not be a problem: > > sa = sample(A, replace=T) > sb = sample(B, replace=T) > > But for the minima distribution, I have the "feeling" (sorry) that the > bootstrapped > values are systematically too high: >
too high = compared to the random variable R, as defined above > a2 = sample(A, replace=T) > b2 = sample(B, replace=T) > sr = pmin(a2, b2) > > Can anybody give me a hint whether my feeling is correct, and perhaps > indicate > some literature in which such issues are handled? > > Best wishes, > > Matthias > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
