On Saturday, May 31st, 2025 at 7:44 PM, Bert Gunter <bgunter.4...@gmail.com> wrote:
> JRG: > > I don't think your specification is correct -- perhaps just a thinko. I think > a 10-tuple of "reals" (scare quotes because of computer precision) with your > specifications is what is wanted. > > Bert > > "An educated person is one who can entertain new ideas, entertain others, and > entertain herself." Well, I had started with 10-tuples of reals. Forcing integer elements was a feeble attempt to deal with this aspect of the original post: ". . . with accuracy up to second decimal number". But as this seems to be homework, radio silence ensues. ---JRG > On Sat, May 31, 2025 at 3:43 PM JRG <j...@loesl.us> wrote: > >> I'll second Bert's comments, also assuming this is not homework. In addition: >> >> Your use of "mid-point" is not a standard one (in my world), nor perhaps is >> that of "simulate". >> >> Let me attempt to re-state your problem: You wish to choose 10-tuples of >> integers 0 <= k <= 100 satisfying >> >> 1) 0 <= k_i <= 100 for i = 1:10; >> and >> 2) k_(i+1) - k_(i) >= 5 for i = 1:9. >> >> Finally, you'd like 1000 of those 10-tuples. >> [Here, "k_(i)" is the usual notation for order statistics.] >> >> Is that the task? >> >> If so, are there are other requirements on the k_i ? >> >> The word "simulate" suggests the k_i are supposed to be realizations of >> random variables. If so, what sort of distributional assumptions did you >> have in mind? >> >> ---JRG >> >> On Saturday, May 31st, 2025 at 6:09 PM, Bert Gunter <bgunter.4...@gmail.com> >> wrote: >> >>> >>> >>> If this is a real problem and not homework, can you tell us the >>> context? It is not at all clear (to me) what you mean by "simulate", >>> i.e. what your target distribution is, which may depend on/be defined >>> by the context. >>> >>> Bert >>> >>> "An educated person is one who can entertain new ideas, entertain >>> others, and entertain herself." >>> >>> >>> On Sat, May 31, 2025 at 11:52 AM Brian Smith briansmith199...@gmail.com >>> wrote: >>> >>> > Hi, >>> > >>> > Let say I have a range [0, 100] >>> > >>> > Now I need to simulate 1000 10 mid-points within the range with >>> > accuracy upto second decimal number. >>> > >>> > Let say, one simulated set is >>> > >>> > X1, X2, ..., X10 >>> > >>> > Ofcourrse >>> > >>> > X1 < X2 < ... <X10 >>> > >>> > I have one more constraint that the difference between any 2 >>> > consecutive mid-points shall be at-least 5.00. >>> > >>> > I wonder if there is any Statistical theory available to support this >>> > kind of simulation. >>> > >>> > Alternately, is there any way in R to implement this? >>> > >>> > ______________________________________________ >>> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> > https://stat.ethz.ch/mailman/listinfo/r-help >>> > PLEASE do read the posting guide >>> > https://www.R-project.org/posting-guide.html >>> > and provide commented, minimal, self-contained, reproducible code. >>> >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> https://stat.ethz.ch/mailman/listinfo/r-help >>> PLEASE do read the posting guide >>> https://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
