I agree, but "R" also refers to "residual" in some publications.
---Jerry Zar
>>> "Robert J. MacG. Dawson" <[EMAIL PROTECTED]> 07/09/01
08:52AM >>>
"J. Williams" wrote:
>
> On Mon, 09 Jul 2001 12:15:25 GMT, Jan Sjogren
> <[EMAIL PROTECTED]> wrote:
>
> >Hi there!
> >
> >I wonder what these things means:
> >
> >SST
> >SSM
> >SSE
> >SSR
> >MSR
> >MSE
> >
> >Thanks,
> >
> >Janne
> >
> Are these statistical acronyms you want defined? SSt, for example,
> could be total sum of squares and SSe could be sum of squares error.
> SST could denote the Concorde aircraft type or a Russian TU 144.
Oh, come *on*. Somebody posts to a stats mailing list with a
list of
closely related stats acronyms and we start winding them up with the
suggestion that SST might be an airplane? What other plausible model
would explain that list of acronyms as a set? Jeeesh.
Janne: These are acronyms used in ANOVA and regression to describe
various sources of variation in the data.
SS? - Sum of Squares, MS? = Mean Square.
T = Total - the total variation shown by the data.
M = Model (roughly synonymous with Tr , "treatment" or R,
"regression")
- the variation that can be explained by the explanatory
variables in
the fitted model. "Regression" usually implies a numerical predictor,
"Treatment" a categorical one, but there is less difference between
regression and ANOVA than might at first appear.
E = Error - the variation *not* explained by the model. It may be
"error" in the sense of observational sloppiness, actual variation in
what's being observed, or many other things; it's a catchall term.
-Robert Dawson
=================================================================
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
http://jse.stat.ncsu.edu/
=================================================================
=================================================================
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
http://jse.stat.ncsu.edu/
=================================================================
