... yes. ... And do note that in sampling, truncated != censored. (They are often confused)
Cheers, Bert Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." Clifford Stoll On Sun, Oct 5, 2014 at 9:32 AM, Ben Bolker <bbol...@gmail.com> wrote: > Bob O'Hara <rni.boh <at> gmail.com> writes: > >> >> This isn't an R question at all, so I don't know why it's on this list. But >> the best answer I've got is "a truncated t-distribution with an infinite >> number of degrees of freedom". >> >> Bob > > Or, perhaps more productively: "since your question is a general > statistical question, it might be more useful to ask it (e.g.) on > CrossValidated, <http://stats.stackexchange.com> ; however, you'll > also need to expand and/or clarify your question before you ask > it there. It's not clear what kinds of similarity and/or properties > you are looking for. More context would be helpful." > >> >> On 5 October 2014 17:18, >> thanoon younis <thanoon.younis80 <at> gmail.com> wrote: >> >> > Dear all R-users >> > I have a question regarding truncated normal distribution >> > : which type of probability distribution has same properties of truncated >> > normal distribution? >> > Many thanks in advance > > ______________________________________________ > 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. ______________________________________________ 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.
