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: 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.
