I have an experimental sample, size of about 1000 values. I need to generate a much larger sample for simulation. I can create a samples like this:
library(ks) x<-rlnorm(1000) y<-rkde(fhat=kde(x=x, h=hpi(x)), n=10000, positive = TRUE)# z<-sample(x, 10000, replace = TRUE) par(mfrow=c(3,1)) hist(x, freq=F, breaks=100, col="red") hist(y, freq=F, breaks=100, col="green") hist(z, freq=F, breaks=100, col="blue")
What fundamental limitations when using KDE or bootstrap? How else can I create such a sample?