Many statistical people would be very happy to see John Nelder
knighted, but alas not to date.
So, at most, Professor John Nelder, not Sir John.
I think the key distinctions lie in what is allowed
in terms of error structure.
Nick
[email protected]
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]]On Behalf Of
> Joseph Coveney
> Sent: 10 February 2006 11:22
> To: Statalist
> Subject: RE: st: RE: General linear Model
>
>
> Nick Cox wrote:
>
> Historically the abbreviation -glim- (or more
> precisely GLIM) was used for software implementing
> generalized l.m.s (sensu Nelder and Wedderburn).
>
> My guess is that -glm- was used in Stata as a
> slightly different name precisely to avoid any
> inference (implication, too) that -glm- matched
> GLIM one-to-one, which it certainly did not.
>
> But if Joe Hilbe is watching he can beat guessing
> and tell us why he chose that name.
>
> --------------------------------------------------------------
> ------------------
>
> I thought that users of other statistical software packages
> (SAS and SPSS
> excepted) also use GLM to stand for generalized linear model.
> For example,
> the quote below is excerpted from a post to the S-Plus list.
> I've seen the
> initialism used in this manner on GenStat's list, as well,
> and I believe
> even by Sir John Nelder posting there. At least one source
> ( www.ucalgary.ca/infoserve/Vol8.6/glim.html ) states GLIM to
> stand for
> Generalised Linear Interactive Modeling.
>
> And while we're at it, just what is a general linear model,
> anyway? I've
> always understood it as SAS's commercial (marketing) term for "linear
> model," that is, a distinction without a difference. Am I missing
> something?
>
> Joseph Coveney
>
> "As you are not in the SAS world here, be aware that the G in
> glm and gam is
> `generalized' not `general' (SAS's GLM merely highlights that
> for many years
> it was incapable of fitting a linear model with factors and continuous
> variables)."
>
> (Prof. Brian D. Ripley, posted May 29, 1999, archived at
> www.biostat.wustl.edu/archives/ html/s-news/1999-05/msg00321.html )
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
