=
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
http://jse.stat.ncsu.edu/
=
Hi:
A colleague had a reviewer suggest that he use a Fisher-Hayter multiple
comparisons procedure (he'd used Scheffe in his article) so he asked me about
it and I replied "huh"? (Haven't heard of it.) I'm trying to point him in the
right direction without actually going to the office (It's summ
for the simple one sample z test kind of case, for a population mean, i
have a nice MINITAB macro that will draw overlapping H(0) and H(1)
distributions ... if you input the H(0) and H(1) values, sigma, and the
sample size. it assumes a 2 tailed .05 alpha test ...
this is a MINITAB macro ... s
I recently read "The Lady Tasting Tea" by David Salsburg, in the hope
it would explain the "Bayesian philosophy". Sadly, for me most of the
chapters of this book are too short and non-mathematical to explain
much.
Can some one recommend another book.
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]]On Behalf Of KKARMA
Sent: Wednesday, July 11, 2001 2:04 AM
To: [EMAIL PROTECTED]
Subject: Bayesian analyses in education
As a teacher of research methodology in (music) education I am
interested in the relation betwee
KKARMA <[EMAIL PROTECTED]> wrote in message news:<[EMAIL PROTECTED]>...
> As a teacher of research methodology in (music) education I am
> interested in the relation between traditional statistics and the
> bayesian approach. Bayesians claim that their approach is superior
> compared with the trad
Hello:
I am using the GEE library under S-Plus 2k Prof, Rel 3. Is there a customary
way of obtaining a test for effects with several df in GEE? In my particular
case, I have 3 factors (say A, B, and C) with 2, 2, and 4
levels respectively. The C main effect and the A:C, B:C, and A:B:C interac
[EMAIL PROTECTED] writes:
>I have a question regarding risk-adjustment. I recently
>read an article where some researchers developed some
>risk-adjustment models for detecting outlier hospitals based
>on the hospital's c-section rate. A logistic regression model
>was fit using data from all o
