Sorry. Central limit theorem. Enough averaging and you get a normal distribution (simply stated, perhaps too simply). If so others will correct me before long. :-(
Sent from my iPad > On Jul 21, 2015, at 8:52 PM, Wensui Liu <liuwen...@gmail.com> wrote: > > what does CLT stand for? > >> On Tue, Jul 21, 2015 at 11:41 PM, Don McKenzie <d...@u.washington.edu> wrote: >> Or if there are enough averages of enough counts, the CLT provides another >> option. >> >>> On Jul 21, 2015, at 8:38 PM, David Winsemius <dwinsem...@comcast.net> wrote: >>> >>> >>> On Jul 21, 2015, at 8:21 PM, Wensui Liu wrote: >>> >>>> Dear Lister >>>> When the count outcomes are integers, we could use either Poisson or >>>> NB regression to model them. However, there are cases that the count >>>> outcomes are non-integers, e.g. average counts. >>>> I am wondering if it still makes sense to use Poisson or NB regression >>>> to model these non-integer outcomes. >>> >>> There is a quasi-binomial error model that accepts non-integer outcomes. >>> >>> -- >>> >>> David Winsemius >>> Alameda, CA, USA >>> >>> ______________________________________________ >>> 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 http://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >> >> >> > > > > -- > WenSui Liu > https://statcompute.wordpress.com/ ______________________________________________ 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 http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
