[EMAIL PROTECTED] wrote:
What are your favorite book(s) on factor analysis?
What do you think of R. Gorsuch's book?
My favorite is Stan Mulaik "The foundations of factor analysis".
It is comprehensive and still straightforward from the introduction
to all covered themes. I have tried
S. Shapiro wrote:
I have a set of six numbers, as follows:
6.77597
7.04532
7.17026
7.13235
7.56820
6.97272
which represent results from six different measurements of
the same thing in six different trials, one measurement
per trial. (As a consequence of measurement the samples
Springtime for Statistics (April-May-June)
Six New Jersey Area announcements
[1] Logistic Regression Short Course
[2] Clinical Trials Short Course
[3] Multiple Comparison Exact Inference Short Courses
[4] Bates' Nonlinear Regression Short Course
[5]
how come when you do a pdf on a unit norm distribution and one say, where
mean is 100 and sd = 15 ... you get different pdf values along the Y
axis??? is it just because the lenght of the continuity along X is
narrower/wider?
0.030+
-
C2 - * * *
The original question said "to compare distributions to sets of data"
so I believe the discussion concerns the "Goodness of Fit" tests.
The power should be directly related to the sample size vs. test method
used. I plan to run some tests to investigate this.
In article [EMAIL PROTECTED],
go to http://www.sagepub.com/
search on ... factor analysis ... some nice short books here
At 03:06 PM 4/5/00 +0200, Gottfried Helms wrote:
[EMAIL PROTECTED] wrote:
What are your favorite book(s) on factor analysis?
What do you think of R. Gorsuch's book?
My favorite is Stan
On Wed, 05 Apr 2000 14:14:29 GMT, Madewell [EMAIL PROTECTED]
wrote:
The original question said "to compare distributions to sets of data"
so I believe the discussion concerns the "Goodness of Fit" tests.
Oh, then the proper answer, at the start, by whoever responded then,
would have been to
I am not experienced statistician but I have one simple question. I
have 2 continuous variables from different populations. One has a mean
of 50 one has a mean of 0.3. When I graph their distributions the
first one (with 50 mean) appears to be less variable than the second
(with mean of 0.3).
For the natural sciences, try Reyment Joreskog Applied Factor analysis
for the natural sciences, Cambridge Univ Press.
In article [EMAIL PROTECTED],
[EMAIL PROTECTED] wrote:
[EMAIL PROTECTED] wrote:
What are your favorite book(s) on factor analysis?
What do you think of R.
On Wed, 5 Apr 2000, dennis roberts wrote:
how come when you do a pdf on a unit norm distribution and one say, where
mean is 100 and sd = 15 ... you get different pdf values along the Y
axis??? is it just because the lenght of the continuity along X is
narrower/wider?
Area under a pdf,
I've started an opensource project(software that is free to the
public) to build an web tracking package that competes with
expensive commercial packages like Accrue or Datasage. One
important factor is statistical analysis. We would love to
include statistical prediction and try to identify
Yorgi V. [EMAIL PROTECTED] asked:
My question is -- can I somehow systematically compare the
variability of two samples from different populations?
The short answer is "Yes". Your comments about the disparate shapes of
the two distributions, however, leads one to wonder whether the
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