This doesn't really make sense. I can't figure out what you mean by having the parameters "fall in the range". Do you want to do a Bayesian simulation where the prior is a uniform on those ranges? I don't understand what you mean by "how to assure independency" either. I also don't see what this has to do with how to use R to teach statistics.
On Tue, Jan 24, 2017 at 2:59 PM, Steven Stoline <[email protected]> wrote: > Dear All: > > > I want to simulate two independent log-normal distributions 10,000 times > (say) > > *Log-normal 1: * -10 <= mu1 <=100 and 0< sigma1 <=25 (say) > > *Log-normal 2: * 5 <= mu2 <=50 and 0< sigma2 <=10 (say) > > > Your help will be highly appreciated. > > > > Thank you very much for your support and help. > > > with thanks > steve > > -- > Steven M. Stoline > [email protected] > > [[alternative HTML version deleted]] > > _______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-sig-teaching > [[alternative HTML version deleted]] _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
