> On 22 Jul 2015, at 06:48 , Don McKenzie <d...@uw.edu> wrote: > > Sorry. Central limit theorem.
Or some sort of vegetarian sandwich. Celery, Lettuce, Tomato sounds almost edible with sufficient mayo. ;-) > Enough averaging and you get a normal distribution (simply stated, perhaps > too simply). If so others will correct me before long. :-( Well, your punctuation doesn't quite work -- ')' comes too early. Otherwise it is close enough for jazz, although there are distributions that you can average forever and still not get a normal, and some might want to stress that it is the parameter estimators that become approximately normal. (Students sometimes get confused and believe that the original data magically become normally distributed when you have a lot of them.) In practice, one should ensure that one has "many" data for all the relevant averages (996 males and 4 females is no good), and also that one gets the variance structure at least roughly right. -pd > > 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. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.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.
