Dr. Venables used that as an example for program efficiency in his Advanced S-PLUS programming course, which I took a few years back. He cited Atkinson (1985). Unfortunately I do not have my copy of Atkinson on hand...
Best, Andy > From: Spencer Graves > > What's the current best wisdom on how to construct confidence > bounds on something like a normal probability plot? > > I recall having read a suggestion to Monte Carlo something like > 201 simulated lines with the same number of points, then sort > the order > statistics, and plot the 6th and 196th of these. [I use 201 not 200 > because quantile(1:201, c(0.025, 0.975)) = 6 and 196 while > quantile(1:200, c(0.025, 0.975)) = 5.975 and 11.025.] I think I know > how to do this, but before I code it, I'd like to ask two > questions on > this issue: > > 1. Where can I find this in the literature? I didn't find it > where I thought it was, nor in anyplace else that seemed > obvious to me, > but I don't think I made it up and I'd like to give credit > where credit > it due. > > 2. Are there better alternatives available, especially if the > distribution is a compound mixture that is easily simulated > but not so > easily characterized analytically? > > Thanks, > spencer graves > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
