HDTenEightyP/NetNews huggingface dataset:
From: nichols@spss.com (David Nichols)
Newsgroups: bit.listserv.edstat-l
Subject: Re: Diff in R squares
Date: 20 Nov 92 19:49:28 GMT
Organization: SPSS Inc.

In article <EDSTAT-L%92112013540483@NCSUVM.CC.NCSU.EDU> Dennis Roberts <DMR@PSUVM.BITNET> writes:
>Can someone help me out quickly: two random groups, multiple regressions on sam
>e variables in both, and R squared for first, and R squared for second. How to
>do a hypothesis test of 0 difference between the two population R squared value
>s???? Thanks in advance.

Just a generalization to multiple predictors of the case of testing two
univariate correlations for independent groups. Can be tested as a
homogeneity of regressions in an analysis of covariance setup. In SPSS
MANOVA:

MANOVA DEPVAR BY GROUP(1,2) WITH COV1 . . . COVN
 /ANALYSIS=DEPVAR
 /DESIGN=GROUP, POOL(COV1 . . . COVN), GROUP BY POOL(COV1 . . . COVN)

--
 David Nichols        Senior Statistical Support Specialist         SPSS, Inc.
 Phone: (312) 329-3684     Internet:  nichols@spss.com     Fax: (312) 329-3657
*******************************************************************************
 Any correlation between my views and those of SPSS is strictly due to chance.
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
Newsgroups: bit.listserv.edstat-l
Date:         Mon, 23 Nov 1992 09:17:41 MST
Reply-To:     vokey@HG.ULETH.CA
From:         vokey@HG.ULETH.CA
Subject:      MathLab

I need the company name, address and phone number of a (or the) company that
distributes MathLab for the Macintosh.  Can anyone help me out?

John R. Vokey <vokey@hg.uleth.ca>
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
Newsgroups: bit.listserv.edstat-l
Date:         Fri, 20 Nov 1992 22:25:38 EST
Reply-To:     William Kahn <71020.1025@COMPUSERVE.COM>
From:         William Kahn <71020.1025@COMPUSERVE.COM>
Subject:      experimental markets

I'm cross listing this.

I have just read the December 1992 _Scientific American_ article by
V.L. Smith and A.W. Williams "Experimental Market Economics."  I want to
set up an "election market" along the lines of the sidebar on page 120.
Could someone on this list e-mail me a reference on where I can read
about the details of how this was done?  There must be e-mail directions
because the market was conducted via e-mail.

EDSTAT is a slightly off-target list for this query, but I imagine teachers
of economics may also teach statistics.  I'm thinking of using this
technique to teach personal prior formation in difficult engineering
environments.

Thank you very much for any help you can give me here.

Bill Kahn
W. L. Gore and Associates
71020.1025@compuserve.com
wkahn@mcimail.com
(410) 398-6400
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Newsgroups: bit.listserv.edstat-l
Date:         Fri, 20 Nov 1992 14:09:08 EST
Reply-To:     Frank Dane <FDANE@UGA.BITNET>
From:         Frank Dane <FDANE@UGA.BITNET>
Subject:      Re: Diff in R squares

The easiest way to test R^2 differences between groups is to include
a grouping variable in the equation.  If the grouping variable (dummy
or contrast coding) is "significant", beta will provide some measure of
theinfluence of the grouping variable.  This apparoach also includes
the advantage of testing for interactions between the grouping variable
and the other variable(s) in the equation.

Dr. Francis C. Dane, Associate Professor and Chair
Department of Psychology, Mercer University
Macon, GA  31207-0001  USA
Bitnet: FDANE@UGA   Internet: FDANE@UGA.CC.UGA.EDU
Tel: (912) 752-2972
Fax: (912) 752-2108
From: VSHAYNE@AMERICAN.EDU (Vivian Shayne)
Newsgroups: bit.listserv.edstat-l
Subject: Request for information
Date: 17 Nov 92 17:58:35 GMT
Reply-To: Vivian Shayne <VSHAYNE@AMERICAN.EDU>
Organization: The American University
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU

I am trying to get some information about available technology designed to
facilitate statistical computing for the blind.  More specifically, we are
trying to help a blind student compute in SPSSX (MVS) - we access spssx
through net3270 - on a Novel network with IBM 386s - any assistance you can
provide  would be most appreciated.  Thank You.
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
Newsgroups: bit.listserv.edstat-l
Date:         Mon, 23 Nov 1992 06:39:00 EST
Reply-To:     John Tucker <JTUCKER@NAS.BITNET>
From:         John Tucker <JTUCKER@NAS.BITNET>
Subject:      Re: multiple comparisons: which treatment is best

*To: ataylor@LALA.ZOO.HAWAII.EDU at Internet

Comment:
You might find useful the expository overview of section 4.7 `Multiple
Comparisons: A Tool for Detecting Non-Exchangeability Across Studies' in the
recent Committee on Applied and Theoretical Statistics report

National Research Council.  1992.  Combining Information: Statistical Issues
and Opportunities for Research.   Committee on Applied and Theoretical
Statistics.  Board on Mathematical Sciences.  National Academy Press:
Washington, DC.  228pp.  (ISBN 0-309-04730-7.)

[It is available for $28 plus $4 shipping from National Academy Press
(1-800-624-6242), but first check with your School of Public Health, Dept. of
Public Health Scis., to which a gratis copy was sent in August.]
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
Newsgroups: bit.listserv.edstat-l
Date:         Thu, 19 Nov 1992 16:28:36 CST
Reply-To:     Larry Ries <C459006@MIZZOU1.BITNET>
From:         Larry Ries <C459006@MIZZOU1.BITNET>
Subject:      Education

To April Milliken,

     As I see if statisticians are divided into three categories:

     (1) Purely applied.  Folks who can get results but make recommendations
based on what seems to work and what other people say has worked.  DANGER:
A lot of bad statistics get published here and there and without some
theory background these may be passed on and perpertuated.

     (2) Purely theoretical.  DANGER:  A lot of people who specialize in
theory are reluctant to try ad hoc or heuristic solutions even when these
have been shown to be effective under many circumstances.

     (3) Strong in both areas.  The ideal statistician.

     Purely Applied statisticians should be welcomed into any department
provide these people are willing to ask the right questions when something
questionable come up.  Here at Mizzou we have one statistician whose work
is almost exclusively in Agriculture and who has only a limited theory
background.  Nonetheless, he research is well respected.  He has considerable
experience and is not shy about asking one of the Mathematicians when is
needs to advice about a limiting distribution.

     April, it sounds to me like you are interested in working primarily in
the applied area.

     I've only been at one university in my life, but I feel MU has a quality
program in statistics.  You've got to take a substantial amount of theory,
but your course work depends largely on what you want to do.  For example,
some people don't take any mathematics beyond a course in advanced calculus.
Other take two semesters of real analysis, and two semester of functional
analysis.

     If you're serious about a PhD, you should investigate as many programs
as possible.  Since you seem interested in biostat you might consider a
school offering a PhD in Biostatistics.  I know Ohio State has such a program
and I am sure there are others.

Larry Ries
Dept. of Statistics
University of Missouri
Columbia
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Newsgroups: bit.listserv.edstat-l
Date:         Fri, 20 Nov 1992 16:54:33 EST
Reply-To:     Walt Pirie <WLTPIRIE@VTVM1.BITNET>
From:         Walt Pirie <WLTPIRIE@VTVM1.BITNET>
Subject:      Diff of R**2

One approach: if the two models are the same (and one can test for that), then
 the question of equal R**2 is essentially the same as equal mean squared error
s. And that's just a simple F-test, with all its bad robustness properties.

|==================================|============================|
|  Walter R. Pirie                 |                            |
|  Department of Statistics        |                            |
|  Virginia Tech                   |                            |
|  Blacksburg, VA 24061-0439       |                            |
|                                  |                            |
|  Tel. 703-231-5441               |                            |
|  Bitnet WLTPIRIE@VTFVM1          |                            |
|  Telnet WLTPIRIE@VTVM1.CC.VT.EDU |                            |
|                                  |                            |
|  Fax  703-231-3863               |                            |
|==================================|============================|
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
Newsgroups: bit.listserv.edstat-l
Date:         Mon, 23 Nov 1992 10:56:59 EST
Reply-To:     Walt Pirie <WLTPIRIE@VTVM1.BITNET>
From:         Walt Pirie <WLTPIRIE@VTVM1.BITNET>
Subject:      Names

If I remember correctly, one of the rules on this list is that all postings be
identified with a person's name. I've been seeing several lately that have not
done so. I personally think it creates a better attitude of collegiality if I k
now to whom I'm "talking."

|==================================|============================|
|  Walter R. Pirie                 |                            |
|  Department of Statistics        |                            |
|  Virginia Tech                   |                            |
|  Blacksburg, VA 24061-0439       |                            |
|                                  |                            |
|  Tel. 703-231-5441               |                            |
|  Bitnet WLTPIRIE@VTFVM1          |                            |
|  Telnet WLTPIRIE@VTVM1.CC.VT.EDU |                            |
|                                  |                            |
|  Fax  703-231-3863               |                            |
|==================================|============================|
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
Newsgroups: bit.listserv.edstat-l
Date:         Wed, 18 Nov 1992 16:55:28 GMT
Reply-To:     Ronan M Conroy <RCONROY@IRLEARN.UCD.IE>
From:         Ronan M Conroy <RCONROY@IRLEARN.UCD.IE>
Subject:      Re: Cricket Graph for teaching
              18 Nov 1992 14:09:42 GMT from <cotte@CS-ACAD-LAN.LAKEHEADU.CA>

NO - DON'T DO IT!!

Aside from dubious calculation of regressions, my trusty Cricket
Graph is a good basic GRAPHICS package. It does histograms
wrong - does them as bar charts - but is otherwise fine.

A good teaching package is Data Desk (mentioned more than once
on this list). This has great, fast, flexible exploratory graphics
and is backed with a very useful suite of statistical routines.
The student version complete with a textbook is called Learning
Statistics with Data Desk, and is published by WH Freeman - written
by Data Desk's originator Paul Velleman. ISBN 0-7167-2072-8

I'm using it for teaching basic stats as a hands-on computer course,
and it's the bees knees. (PC fans: the expression 'the bees knees'
came from a medieval law which forbade women to have any thought
biggerthan a bees knee. It was the reason why there were
so many women COBOL programmers.)

ronan
From: cotte@cs-acad-lan.Lakeheadu.Ca (Carol Otte)
Newsgroups: bit.listserv.edstat-l
Subject: Cricket Graph for teaching
Date: 18 Nov 1992 14:09:42 GMT
Organization: Lakehead University

Does anyone know of an inexpensive source for Cricket Graph, with or without 
a text book? The aim is to provide students with their own copy of the 
software for use in a Psychology statistics course. 

The latest version, is priced at $100. Can. from the distributor and this
is too expensive for the students to purchase if they have to buy a text
book as well.

Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
Newsgroups: bit.listserv.edstat-l
Date:         Fri, 20 Nov 1992 15:34:08 EST
Reply-To:     Walt Pirie <WLTPIRIE@VTVM1.BITNET>
From:         Walt Pirie <WLTPIRIE@VTVM1.BITNET>
Subject:      Diff in r**2

The original question was about a test of whether two R**2 values differ.
Frank Dane suggested adding a dummy variable to account for the two models. As
suggested by another respondent, that answers a different question: i.e. not wh
ether the R**2 are different, but whether the models are different.
IMHO, the latter is a very natural question to ask, and the dummy variable is
an excellent way to answerit. The one constraint is the assumption of equal var
iance between the two samples, but that could easily be handled by weighted lea
st squares. Also IMHO, the original question is a "questionable" one in the fir
st place. In almost any modern regression book, one can find comments to the ef
fect that R**2 is not a reliable measure of anything, and is humongously
overused and misused. Also, from a formal standpoint, as far as I've ever seen,
 the distribution of R**2, even asymptotically, is unknown so that formal infer
ence using it is not possible. I'd be interested if anyone knows more about tha
t.
Finally, another respondent suggested a MANOVA approach which equates correlati
on and regression. While it is true that mathematically R**2 is the square of t
he correlation, I've always been taught, and believe, that if formal inference
such as testing is involved, regression and correlation cannot be casually inte
rchanged because of the different assumptions underlying the validity of the pr
ocedures. In otherwords, you can't test R**2 by pretending it's just a (square
of) a correlation coefficient. And I don't think you'll see any regression
publication by a statistician supporting that approach.
If it were true, then the distribution of R**2 would just be the distribution o
f the square of rho, about which quite a bit is known, and tests of R**2 would
likely be a common (bad) procedure.

|==================================|============================|
|  Walter R. Pirie                 |                            |
|  Department of Statistics        |                            |
|  Virginia Tech                   |                            |
|  Blacksburg, VA 24061-0439       |                            |
|                                  |                            |
|  Tel. 703-231-5441               |                            |
|  Bitnet WLTPIRIE@VTFVM1          |                            |
|  Telnet WLTPIRIE@VTVM1.CC.VT.EDU |                            |
|                                  |                            |
|  Fax  703-231-3863               |                            |
|==================================|============================|
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
Newsgroups: bit.listserv.edstat-l
Date:         Fri, 20 Nov 1992 13:50:00 EST
Reply-To:     Dennis Roberts <DMR@PSUVM.BITNET>
Comments:     208 Cedar Bldg.
Comments:     University Park, PA USA
Comments:     AC 814-863-2401
From:         Dennis Roberts <DMR@PSUVM.BITNET>
Subject:      Diff in R squares

Can someone help me out quickly: two random groups, multiple regressions on sam
e variables in both, and R squared for first, and R squared for second. How to
do a hypothesis test of 0 difference between the two population R squared value
s???? Thanks in advance.
Xref: sparky bit.listserv.edstat-l:876 bit.listserv.stat-l:1998 sci.math.stat:2366
From: maj@waikato.ac.nz
Newsgroups: bit.listserv.edstat-l,bit.listserv.stat-l,sci.math.stat
Subject: IBC92 Information available via ftp
Date: 18 Nov 92 09:52:51 +1300
Organization: University of Waikato, Hamilton, New Zealand

Information about IBC92, the XVIth International Biometric Conference
being held at the University of Waikato, Hamilton, New Zealand from
December 7 to 11, 1992 is available through anonymous ftp to

    rua2.ruakura.cri.nz  [ cd ibc92 ]

There is not much there at the moment, but material will be added
progressively as time goes on.

I am not maintaining this directory myself so if you wish to have
particular information added to it send email to ibc@ruakura.cri.nz.
-- 
Murray A. Jorgensen [ maj@waikato.ac.nz ]    University of Waikato
Department of Mathematics and Statistics     Hamilton, New Zealand      
__________________________________________________________________
'Tis the song of the Jubjub! the proof is complete,
if only I've stated it thrice.'
From: YB68@FERRIS.BITNET (John Hansen)
Newsgroups: bit.listserv.edstat-l
Subject: Textbooks
Date: 17 Nov 92 18:12:09 GMT
Reply-To: John Hansen <YB68@FERRIS.BITNET>
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU

In reply to the request for suggested textbooks for students with a
background in calculus and linear algebra.

Suggestions for a probability course:
INTRODUCTION TO PROBABILITY; Snell; Random House; 1988
                 -- or --
A FIRST COURSE IN PROBABILITY; Ross; Macmillan Publishing Co.; 1988

Suggestions for a probability and statistics course:
MATHEMATICAL STATISTICS; Freund & Walpole; Prentice Hall; 1987
                 -- or --
INTRODUCTION TO THE THEORY OF STATISTICS; Mood, Graybill & Boes;
McGraw Hill; 1974
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Newsgroups: bit.listserv.edstat-l
Date:         Mon, 23 Nov 1992 11:57:51 EST
Reply-To:     Walt Pirie <WLTPIRIE@VTVM1.BITNET>
From:         Walt Pirie <WLTPIRIE@VTVM1.BITNET>
Subject:      Wanted: Rank test

I suspect you'll get a dichotomous response on this one.
I personally am strongly against this approach; I think it sets back
the use of rank statistics several decades to what was once done
before the theory of rank procedures was adequately developed, reverting
to the idea of rank tests as "quick and dirty approximate procedures."
It produces tests that are not conservative in the sense of protecting
against type I error, and p-values that are less precise. Generally
if done "correctly", it is asymptotically equivalent to exact rank
procedures, but less accurate for real sample sizes.

Subject: Re:  Wanted: Rank test

Am I mistaken in thinking that (sensu Conover & Iman's work) that
you can just feed the ranked data into a standard program
(like Proc Glm), being careful, of course, to compute the correct
SS's for the effects?
Thanks for any advice-
Phil Wood
Univ. of Mo-Columbia

|==================================|============================|
|  Walter R. Pirie                 |                            |
|  Department of Statistics        |                            |
|  Virginia Tech                   |                            |
|  Blacksburg, VA 24061-0439       |                            |
|                                  |                            |
|  Tel. 703-231-5441               |                            |
|  Bitnet WLTPIRIE@VTFVM1          |                            |
|  Telnet WLTPIRIE@VTVM1.CC.VT.EDU |                            |
|                                  |                            |
|  Fax  703-231-3863               |                            |
|==================================|============================|
Xref: sparky bit.listserv.edstat-l:902 bit.listserv.stat-l:2056
Newsgroups: bit.listserv.edstat-l
Date:         Mon, 23 Nov 1992 11:41:00 EST
Reply-To:     John Tucker <JTUCKER@NAS.BITNET>
From:         John Tucker <JTUCKER@NAS.BITNET>
Subject:      Re: multiple comparisons: which treatment is best

The recent posting that mentioned the Committee on Applied and Theoretical
Statistics' "Combining Information" report was mine.  I apologize for my
failure to close with my contact information (being new to the list).
John R. Tucker
Staff Officer
Board on Mathematical Sciences
Room NAS 312
National Academy of Sciences
2101 Constitution Avenue, N.W.
Washington, D. C. 20418
(202) 334-2422
Fax: (202) 334-1597
E-mail: JTUCKER@NAS.EDU or JTUCKER@NAS.BITNET
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X-Mailer: ELM [version 2.3 PL11]
Newsgroups: bit.listserv.edstat-l
Date:         Mon, 23 Nov 1992 20:53:51 EST
Reply-To:     Bob Hayden <hayden@OZ.PLYMOUTH.EDU>
From:         Bob Hayden <hayden@OZ.PLYMOUTH.EDU>
Subject:      mail, multinomial

My edstat-l mail backed up somewhere for about a month and then all
arrived today -- 98 messages!

Some of the issues about election polls with more than 2 candidates
are discussed in Cochran's _Sampling Techniques_ though it sounds like
the reference mentioned earlier is more complete on this point.
--


      _
     | |          Robert W. Hayden
     | |          Department of Mathematics
    /  |          Plymouth State College
   |   |          Plymouth, New Hampshire 03264  USA
   | * |
  /    |          (603) 536-2497
 |     )          (603) 535-2489
 L_____/          hayden@oz.plymouth.edu
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
Newsgroups: bit.listserv.edstat-l
Date:         Thu, 19 Nov 1992 11:05:37 U
Reply-To:     Paul Velleman <paul_velleman@QMRELAY.MAIL.CORNELL.EDU>
From:         Paul Velleman <paul_velleman@QMRELAY.MAIL.CORNELL.EDU>
Subject:      Re: Data Desk

        Reply to:   RE>Data Desk
I guess I'm the one who ought to respond to Andy Taylor's questions about Data
Desk. Data Desk runs on all Macintosh computers. The program is developed and
supported by Data Description, Inc., Box 4555 Ithaca, NY 14852. (607) 257-1000
(fax 257-4146)
e-mail: Datadesk @AppleLink.Apple.com.
Site and facility (lab) licences are available. The Student Version of Data
Desk is published by W.H. Freeman Co.
  Data Description just announced the new 4.0 release of Data Desk. All new
purchasers get a free upgrade. The Student version will also be available for
Spring term in a new edition based on the 4.0 release.

-- Paul Velleman
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Newsgroups: bit.listserv.edstat-l
Date:         Thu, 19 Nov 1992 13:13:16 CST
Reply-To:     April Milliken <BIOM030@UNLVM.UNL.EDU>
From:         April Milliken <BIOM030@UNLVM.UNL.EDU>
Subject:      Higher Education?

I would lke some information from the experts...I know that you can all
help me.  I will be receiving my MS in biometry in May of 1993.  I am
now faced with two possibilities:  getting a job or going on for a PhD.
My interest lies in consulting, the people part of the job as well as the
statistics part.  I have experience in pharmaceuticals and agriculture
related fields.  Now, is where you can help me:

1.  Do you recommend working for awhile (time?) before going on for a
higher degree?  Di you wish you had or hadn't?

2.  Where did you get your PhD?  Do you recommend it to others?  Do you
know of a preferred school?


I am still weighing the issues as to what to do.  I don't really care for
the theory...though I know it is necessary...I much prefer the applied
side of statistics.  Please help me out by providing information.

Thanks,

April Milliken
Unversity of Nebraska-Lincoln

"I may be in Nebraska, but my heart belongs to Kansas State University!"
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Subject: (no subject given)