Dear Gregor,
thank you very much for your comments.
Due to possibly existing general interest I post this message also in
sci.stat.edu.
"Gregor Socan" [EMAIL PROTECTED] wrote
You obviously should not use coefficient alpha. First, if an exclusion of
some people causes such a change, then
This may have already been discussed but there is web site from the
National Institute of Standards that gives datasets for comparing the
accuracy of statistics packages. In some cases even SAS did not do
well.
The URL is
www.nist.gov/itl/div898/strd/
Mark Eakin
Associate Professor
On 5 Mar 2001 16:41:22 -0800, [EMAIL PROTECTED] (Donald Burrill)
wrote:
On Mon, 5 Mar 2001, Philip Cozzolino wrote in part:
Yeah, I don't know why I didn't think to compute my eta-squared on the
significant trends. As I said, trend analysis is new to me (psych grad
student) and I just
may eons ago ... 1974 to be precise ... i had this idea of making a small
plastic normal and skewed curve template ... that would help students draw
both types ... with information about the distributions on the template ...
that would help them work with problems by being able to make a nice
Dennis also included [EMAIL PROTECTED] among his addressees,
but I am not on that list and therefore cannot reply to them...
On Tue, 6 Mar 2001, dennis roberts wrote:
may eons ago ... 1974 to be precise ... i had this idea of making a
small plastic normal and skewed curve template ... that
back around 1960 ... there appeared via ETS ... a two side nomograph that
found (on one side) partial rs ... and (on the other side) multiple Rs ...
where you could enter the graphs from 2 or more directions and read these
values off ... (if your eyesight was good enough!)
the first was by
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SAS has a paper on their website discussing the matter of
ill-conditioning and numerical accuracy.
http://www.sas.com/rnd/app/papers/papers_da.html
--
George MacKenzie
Multivariate Models RD
SAS
=
Instructions for joining and
I am trying to determine the transform from log odds to the original
scale. Assuming that I have x such that lo(x) is ~N(m,s^2) where lo(x)
= ln[x/(1-x)], is there a closed form to calculate the moments on x
given m and s?
George Scott
George MacKenzie wrote in message ...
SAS has a paper on their website discussing the matter of
ill-conditioning and numerical accuracy.
http://www.sas.com/rnd/app/papers/papers_da.html
--
George MacKenzie
Multivariate Models RD
SAS
The paper refered to indicates that the SAS REG procedure
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