Try
http://www.itl.nist.gov/div894/894.01/proc/darpa99/pdf/tdt240.pdf
for some clues
"Aaron Katya" [EMAIL PROTECTED] wrote in message
VRcQ4.851$[EMAIL PROTECTED]">news:VRcQ4.851$[EMAIL PROTECTED]...
Does anyone know of a reference that describes the steps in computing the
mean for the
"David A. Heiser" wrote:
- Original Message -
From: Warren Sarle [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Sent: Thursday, May 04, 2000 12:23 PM
Subject: Re: no correlation assumption among X's in MLR
If the independent variables in a multiple linear regression are
collinear,
Hi Paul, William et al.--
This may be ANOTHER GOOD TIME TO COMMENT ON
THE COMMUNICATION PROBLEMS OF STATISTICS (AND OTHER AREAS, TOO).
I suggest that when we use the terms LINEAR and NONLINEAR that we
tell the reader what the SENDER means by those terms.
When I write:
Y = b1*X1 + b2*X2 + ...
Thom Baguley wrote on 5/4/00 3:41 AM:
Donald F. Burrill wrote:
(1) The house ALWAYS has the statistical advantage. Else it wouldn't
include that game among its offerings. (Agreed, this is oversimple...)
The only exception is successful card counting - however card counting is
pretty hard
Bill --
You are so right!! The term NONLINEAR is very confusing.
As I indicated in the earlier message, most folks in the statistics world refer to a
LINEAR MODEL as I indicated.
Y = b1*X1 + b2*X2 + ... + bp*Xp + E
and some folks will write UNFORTUNATELY --
Y = b0 + b1*X1 + b2 * X2 + ...
On Wed, 3 May 2000, Alan McLean wrote in part:
With regard to correlation and collinearity - I have become used to
'explaining' collinearity to my classes in terms only of pairs of
explanatory variables, forgetting that the collinearity could involve a
set of three or more variables, and
On 4 May 2000 14:53:18 -0700, [EMAIL PROTECTED] (Derek Ogle) wrote:
Can anyone provide me (a description or a reference will suffice) with a
convincing argument or demonstration of WHY the first eigenvector-eigenvalue
of the variance-covariance matrix represents the direction and magnitude of
Look up papers by Stuart Hurlburt, who points up commonly-made errors in
ecological research. Two of note are his paper on pseudoreplication (in
Ecological Monographs, circa 1989, I think) and "The Spatial
Distribution of the Montane Unicorn" (I don't recall the journal).
V. Partridge
