HDTenEightyP/NetNews huggingface dataset:
Original_To:  BITNET%"linkfail@uga"
Original_cc:  KOBLE
Newsgroups: bit.listserv.linkfail
Date:         Thu, 3 Sep 1992 09:11:00 CDT
Reply-To:     nancy koble <KOBLE@UTHSCSA.BITNET>
From:         nancy koble <KOBLE@UTHSCSA.BITNET>
Subject:      down time - 9/12 8:00am to 9/12 5:00pm

Due to scheduled hardward installation, node UTHSCSA will be down on 9/12/92
from 8:00 a.m. to 5:00 p.m. (local time).

UTHSCSA feeds UTSA86 UTSAVM1 STMARYTX TRINITY and MTECV1.  MTECV1 feeds the
country of Mexico, therefore all nodes in Mexico will be unavailable during
those times.

Sorry for any inconvenience,

nancy koble        Postmaster

University of Texas Health Science Center at San Antonio
Internet:          koble@uthscsa.edu
BITnet:            koble@uthscsa
THEnet:            shire::koble
Ma Bell:           (512) 567-2069
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Date:         Fri, 4 Sep 1992 11:44:14 -0700
Reply-To:     UANETMGR@ARIZONA.BITNET
From:         UANETMGR@ARIZONA.BITNET
Subject:      Link failure at ARIZONA 08:00-11:45 MST 9/4/92

Due to configuration problems, all BITNET links out of ARIZONA may have lost
spool files between 08:00 to 11:45 MST on 9/4/92.  We apologize for any
inconvenience.
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Newsgroups: bit.listserv.linkfail
Date:         Wed, 26 Aug 1992 14:43:13 CDT
Reply-To:     Gerald Hanusch <K000165@EDVZ.UNI-LINZ.AC.AT>
Comments:     Warning -- original Sender: tag was K000165@ALIJKU11
From:         Gerald Hanusch <K000165@EDVZ.UNI-LINZ.AC.AT>
Subject:      AT/CS/HU/BG down

From Monday, 31 Aug 92, 07:00 local time until Tuesday, 1 Sept 92, 19:00
local time, node AEARN is down for major hardware re - installation
and extenstion of our air-conditioning plant.

Affected nodes: all 'behind' AEARN, HUEARN, CSEARN and BGEARN.

Sorry for any inconvenience,
Gerald
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Newsgroups: bit.listserv.linkfail
Date:         Fri, 4 Sep 1992 09:21:17 MET
Reply-To:     Ulrich Giese <U001213@HNYKUN11.URC.KUN.NL>
From:         Ulrich Giese <U001213@HNYKUN11.URC.KUN.NL>
Subject:      power failure at U. of Nijmegen
Comments: To: pits@princeton.edu

this night we were hit by a severe power failure which crashed several
power supplies between 1am and 3am local time.
so far most systems are back, but we still have major problems with the
machine which is running our campus nameserver.

appologies
-ulrich-
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Organization: U.S. Dept. of Energy
Newsgroups: bit.listserv.linkfail
Date:         Fri, 28 Aug 1992 09:15:50 EDT
Reply-To:     "Bitnet Mgr. at Dept. of Energy Hqs." <BITMAN@DOEVM.BITNET>
From:         "Bitnet Mgr. at Dept. of Energy Hqs." <BITMAN@DOEVM.BITNET>
Subject:      DOE Hqs. down 29Aug92
Comments: To: Link Failure Notice <LINKFAIL@UGA.BITNET>,
              DOE Network List <doenet-l@DOEVM.BITNET>

The Department of Energy Headquarters complex will be down from 7:00 am
Saturday, Aug.  29 until 6:00 pm for building electrical maintenance.

This will affect node DOE and all the DOExx nodes (all end nodes).
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Newsgroups: bit.listserv.linkfail
Date:         Sun, 23 Aug 1992 02:58:06 +0200
Reply-To:     postmaster@IRA.UKA.DE
From:         postmaster@IRA.UKA.DE
Subject:      WARNING: message delayed at "ira.uka.de"

Your message,
	ID iraun1.ira.325:21.07.92.18.15.50
	UA-ID TICKET [.sara...
has not yet been delivered to the following recipients:

nur@ira.uka.de

The message is queued for processing on iraun1.ira.uka.de.

Delays are usually created by hosts being down, less often by network
outages.

Delivery attempts will continue and no action on your part is
required. If the message cannot be delivered in the next 42 hours
it will be returned to you.
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Newsgroups: bit.listserv.stat-l
Date:         Sun, 23 Aug 1992 01:55:55 -0400
From:         TSPENCER@UTXVM.BITNET
Subject:      Markov chain, Lag Seq Anal progr

I'm looking for the "Arundale programs" mentioned in Gottman & Roy (1990) for
Markov chain analysis, and I'm looking for Roger Bakeman's ELAG program
mentioned in the same book.  How does one go about finding such software?  In
my particular case, I am primarily a PC-user (DOS environment).

Thanks.  TSPENCER@UTXVM
---
-------------( Forwarded letter follows )-----------------------
---
Date: Thursday, 20 August 1992 11:03am CT
To: STAT-L
From: Tspencer
Subject: Markov chain, Lag Seq Anal programs?

Does anyone know where I can get "the Arundale programs" mentioned in Gottman
and Roy (1990) for Lag Sequential Analysis?

I would also like to learn more about Bakeman's ELAG program for time-series
analysis.
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Newsgroups: bit.listserv.stat-l
Date:         Sun, 23 Aug 1992 23:46:21 EDT
From:         Clark Gaylord <GAYLORD@VTVM2.BITNET>
Subject:      Job Postings

I vote with Bob Parker and Bill Venables.  Provided the Subject: line
clearly marks the nature of the post, I see no reason job/head hunters
should be prohibited from this channel.  This is the way I feel about
other "marginal" issues as well; mark them well, so that those people
not interested can easily discard them, but feel free to otherwise talk
about what you want.

Clark
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Newsgroups: bit.listserv.stat-l
Date:         Thu, 3 Sep 1992 14:48:54 EDT
From:         Rich Einsporn <R1RLE@AKRONVM.BITNET>
Subject:      color analysis

Researchers from Home Economics have asked me for statistical help with a study
they are doing on color analysts.  Two female subjects each visited the same 10
color analysts.  Each color analyst classified each subject according to what
they call "season" -- spring, summer, autumn, or winter -- based on their
perception of the subject's skin, hair, and eye coloring.  The analysts also
gave swatches of material of different color shades that they recommended for
the subject.
   First off, the researchers want to infer something about whether the
analysts are in agreement as to which season a subject belongs.  Is there a
standard measure out there to assess the degree to which the 10 analysts agree
on the "season" of a given subject?  Can that measure be "pooled" somehow
to encompass both subjects at once?
   Second, the researchers have spent untold hours comparing the color swatches
that were given to the subjects by the color analysts.  First, they classified
each swatch as belonging to one of about 13 basic hue categories.  Then, within
each hue category they compared the swatches given to one of the subjects by 2
of the 10 analysts. (This was done for all 10 choose 2 pairs of analysts for
each of the two subjects!) For each of these hue group swatch comparisons they
counted the number of matching and nonmatching swatches provided by the 2
analysts.  (Recall that they're comparing 2 analysts at a time.)  To add to the
confusion, the number of swatches in a given hue group differed from analyst
to analyst.  Can anybody out there suggest anything reasonable to do with this
information in terms of assessing the degree to which the color analysts were
in agreement with their swatch selections?
   If two analysts agree on the subject's "season" then their swatch selections
should be more similar than for two analysts whose "season" determinations
differed.  But I can't even think of a crude way testing this.

   Any suggestions would be appreciated.

Dr. Rich Einsporn   R|RLE@AKRONVM
Dept. of Mathematical Sciences
The Univ. of Akron
From: jerry@nutmeg.hnrc.tufts.edu (Jerry Dallal)
Newsgroups: bit.listserv.stat-l
Subject: Re: Metaanalysis Flame
Date: 4 Sep 92 16:11:59 GMT
Organization: USDA HNRC at Tufts University

In article <STAT-L%92090203340703@VM1.MCGILL.CA>, LOFJUST@VM.UNI-C.DK (Just Jensen) writes:
> 
> HOWEVER:
> On the subject of Metaanalysis Jerry Dallal writes ... 'pointing you to a
> set of references regarding metaanalysis would be doing you more of a
> disservice than a service' and then suggests to hire a statistician
> to ensure an optimum solution to the problem om combining data from
> several sources.
> 
> I have to say that i think that the above is a bunch of 'malarky'. I
> thing that any researcher want ot hire as much help as possible but the
> treatment of a collection af data can only be the responsibility of
> the rersearcher that
> is going to write a publication from those data. 

I'm speechless!  And I (honestly) wish you the best of luck with your 
analysis.
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Newsgroups: bit.listserv.stat-l
Date:         Fri, 4 Sep 1992 10:55:37 MDT
From:         vokey@HG.ULETH.CA
Subject:      Eigen Vector algorithms

Is anyone aware of an eigen value/vector routine superior to Ortega's (1967)
GIVHO subroutine based on the Givens-Householder method for symmetric
matrices?  It would seem that improvements must have happened over the
intervening quarter-century.  Code examples are welcome.
TIA John R. Vokey <vokey@hg.uleth.ca>
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Newsgroups: bit.listserv.stat-l
Date:         Thu, 3 Sep 1992 08:35:36 EDT
From:         Wally Dixon <dixon@NIKE.HEIDELBERG.EDU>
Subject:      dichotomies

This is my first post to the list.  I'm glad I've finally been able to find
it after hearing about it for so long.  My question has to do with the use
of sub-interval data, specifically dichotomous data, in factor analyses.  From
my reading of the literature, I've gather that *the* person to read is Muthen.
Unfortunately, I've tried to read it and am much overwhelmed by the
mathematics.  Can anyone explain to me in simpler terms, what his
transformations do to dichotomies?  I'm aware that prelis in the LISREL package
performs similar transformations, that PROC Callis does too, and that EQS will
come out soon (or maybe already has) with a similar transformation procedure.

As a secondary question, I'm a psychologist at a small college.  I have access
to some math classes, e.g., calculus, etc., but not advanced statistics courses.
My graduate training, perhaps like that of many psychologists, has left me
severely constrained with respect to a comprensive understanding of statistics.

However, I suspect that much could be gained by more extensive exposure to
simple math like calculus, which I could be exposed to at the undergraduate
level.  Is this an acceptable assumption?  Thanks in advance.

_____________________________________________________________________________
                                   |
Wallace E. Dixon, Jr.              | "Humanity has been held to a limited and
Department of Psychology           |  distorted view of itself--from its
Heidelberg College                 |  interpretation of the most intimate of
Tiffin, OH  44883                  |  personal emotions to its grandest vision
dixon@nike.heidelberg.edu          |  of human possibilities--precisely by
                                   |  virtue of its subordination of women."
                                   |         -Jean Baker Miller
___________________________________|_________________________________________
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Newsgroups: bit.listserv.stat-l
Date:         Mon, 31 Aug 1992 08:17:31 MET
From:         "J. A. HARTOG" <ABRAMSE@HROEUR1.BITNET>
Subject:      communalities > 1

Dear Networkers,
In an earlier posting I asked for advice, because when performing
factor analyses with SPSS PC+ I was confronted with factorloadings
greater than 1.
Several people answered my cry for help. I am very grateful.
Distribution lists in general, and STAT-L in particular, are
heaven sent. What always amazes me is, that they are not more
popular in university circles. But may be no matter exists with greater
inertia than universities.
In the analysis concerned we investigate whether several different
indices of revealed comparative advantage - a concept out of the
theory of international trade - can be seen as indicators of just one
latent factor, be means of exploratory factor analysis.
For each year (1970-1986) a factor analysis was performed with the
different indices as variables and 82 productgroups as cases. In 4
years we found factor loadings greater than 1 (all of them equaling
1.01).
Methods like ULS are nothing daunted and compute the factor scoresas if
everything is allright. My problem is, what confidence can I have
in these factor scores.
My first impression is that they behave quite normally. Pairwise correlation
gives results as are to be expected. The further away the years the
lower the correlation. I am tempted to proceed  without qualms. Am I
right ?
I am sending this posting to the list because the experts tell me
that my problem is not exceptional (it is called a Heywoord case) and
might therefore be of general interest.
                                                Jaap Hartog
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Newsgroups: bit.listserv.stat-l
Date:         Tue, 25 Aug 1992 11:37:02 MDT
From:         vokey@HG.ULETH.CA
Subject:      Alleged "cheating"
X-To:         STAT-L@VM1.MCGILL.CA

In his post, Rolf Turner expresses concern that students posting homework
problems to the list are "cheating" and that, inter alia:
"There is never going to be any guarantee that we are not answering
homework questions.  (A really clever student could fake it.  But then,
a really clever student could do the homework herself.)  But we should
take reasonable precautions."

What arrogant nonsense.  We don't take any precautions that we are doing the
work of some professional consultant, either (Although, a really clever
statistical consultant could fake it.  But then, a really clever consultant
could do the work herself).  Nor should we.  The student is likely to
learn a lot more from the posting of a problem than he/she probably would
by "solving" it on his/her own, or by consulting his/her textbook.  The
variety of the answers received would be a lesson in itself.  Posting the
problem to the list is creative problem solving.  If Professor Turner wishes
not to answer the query, he doesn't have to.  I, for one, applaud the
initiative of students, indeed all persons who avail themselves of knowledge
resources.

John R. Vokey <vokey@hg.uleth.ca>
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From: mzf@castle.ed.ac.uk (M Firat)
Newsgroups: bit.listserv.stat-l
Subject: Statistical teaching and consultation
Date: 2 Sep 92 16:11:21 GMT
Organization: Edinburgh University

Hi there,

I am involved in teaching and providing a statistical consultancy service
at the Biometry Section of the Department of Animal Science, Faculty of
Agriculture, University of Cukurova in Turkey. Our University has one of
Turkey's largest Faculties of Agriculture. However, there are only four
statisticians specializing in Biometry, consisting of a Professor, an
Associated Professor, a Doctor and myself.

Our main objectives are to provide a statistical/computing consultancy 
and teaching service, but these have been a great problem as our 
Biometry Section has such a limited number of statisticians. Our clients
are faculty graduate students working on research dissertations and 
other technical staff. Our teaching programme covers all students 
attending courses at the various departments of the Faculty of 
Agriculture. However, as there are no specialized staff in computing, 
these statisticians are required to provide a computing advisory service
as well as a teaching and statistical consultancy. 

When offering a statistical/computing consultancy and teaching service
to a large faculty, it is of course necessary to have experienced
statisticians. This could be possible if our existing statisticians were
to be trained with the help and collaboration of the universities which
have been carrying out teaching and consultancy in statistics and
computing. In future, as the University expands several graduate may be
required to attend MSc or PhD courses in Biometry at overseas
universities that we are in collaboration with.

We would be grateful if you could provide us with any information
relating to conducting a consultancy service (statistical/computing) and
also to organizing a teaching course for Agriculture students and MSc
and PhD students in Biometry. We would also be grateful for any
documentation including articles and video tapes (preferably Beta
system) etc. and the names and addresses of universities which provide a
consultancy and teaching service in statistics and computing. 

We look forward to hearing from you in due course.

For and on behalf of
Cukurova University

Mehmet Firat

University of Edinburgh
Dept. of Math. & Stats.
JCMB, 4617
King's Buildings
Edinburgh EH9 3JZ
UK

email: mzf@uk.ac.ed.castle
tel: (031) 650 8575
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Newsgroups: bit.listserv.stat-l
Date:         Thu, 3 Sep 1992 10:54:20 +1200
From:         brobinso@LEVEN.APPCOMP.UTAS.EDU.AU
Subject:      Re: polls, confidence, point estimates (OZ)
X-To:         STAT-L@VM1.MCGILL.CA

>
>Geoff Selig is right when he points out that there is a region around
>a survey result representing out imprecision. The true value that we
>are trying to measure has an X% (usually calculated as 5%) chance of
> . . . .
>To get a 4% error margin (+/-) 95 times out of a hundred, sampling from
>a large population, you need a sample of 600. If the samples were actually
>600 in each poll, the difference between the two percentages is 8% with

Here in Oz, they usually use a sample size of about 2000, giving a
tolerance of +/- 2%

>ronan
>
>

Barrie.

--
Barrie Robinson,                  |email:
brobinso@leven.appcomp.utas.edu.au
University of Tasmania at Launceston.  |phone:  (61)(03)260211
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Newsgroups: bit.listserv.stat-l
Date:         Wed, 26 Aug 1992 10:35:27 GMT
From:         Ronan M Conroy <RCONROY@IRLEARN.UCD.IE>
Subject:      Follies and fallacies

I cannot let pass John Vokey's recommendation of the book
"Follies and Fallacies in Medicine" by Skrabaneck and McCormick
without comment. I reviewed this amazing work, which achieves
something no clinical trialist would be allowed to do: by
selecting which studies to review, it succeeds in upholding
a hypothesis. It also reveals a rather startling misunderstanding
of how science works. In short, it's another pop-medicine book,
differing only in its message from the other random walks
through epidemiological data that bemuse the poor punter.
I urge anyone who is interested in the debasement of scientific
data by popular writers (much more prevalent on this side of the
atlantic, I'm fraid) to read this little compendium.

ronan
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X-Envelope-to: stat-l@MCGILL1.BITNET
X-VMS-To: STAT
Newsgroups: bit.listserv.stat-l
Date:         Thu, 3 Sep 1992 09:21:00 +0000
From:         LEON BRUNENBERG <BRUNENBERG@NIJENRODE.NL>
Subject:      ordinal or interval

Dear Stat-l er's,

I have a dataset that consists of items scored on a Likert-scale (five
points scale, range 'very important - not important').

I always understood that these kind of data have to be treated as
data at an ordinal measurement level, and therefore one should use
non-parametrics tests to analyse these kind of data.

However, I am now having an argument with a collegea who is saying that
this kind of data can be treated as 'interval' measurement level. According
to this he is also suggesting to use the according parametrics tests.

At this moment I am using 'Mann-Whitney' and 'Kruskal-Wallis' to analyse
the data. If this kind of data can also be treated as 'interval' data than
I suppose I also could analyses like T-tests, and ANOVA's?


Leon.
                         ..
                         :
         ........      /   \
        |^^^^^^^^     |     |
        |         \___|     |___
        |                       \
        |                  Management Research Centre Nijenrode
        |                  Nijenrode, the Netherlands School of Business
        |                  email adress: IN%"BRUNENBERG@NIJENRODE.NL"
        |
From: wangj@eniac.seas.upenn.edu (Jie Wang )
Newsgroups: bit.listserv.stat-l
Subject: References on ratio estimate
Date: 3 Sep 92 03:14:37 GMT
Organization: University of Pennsylvania

Hi, there, could someone out there help me with the following
ratio estimate problem ? Any comments and/or references are
appreciated. Now the problem:

Suppose {X(i)} and {Y(i)} are i.i.d. sequences respectively, but
X(i) and Y(i) may be correlated. Let m(x) and m(y) be the expected
values of X(i) and Y(i) repectively. We would like to estimate 
	    m(x)
	R = ----. 	We know that
	    m(y)


	^      [ sum_1_to_n X(i) ] / n
	R(n) = -----------------------  
               [ sum_1_to_n Y(i) ] / n

is a consistent but biased estimator for R. Does anyone know of
any RIGOROUS treatment on the variance of this estimator ?
Particularly, I am interested in some sufficient conditions of X(i),Y(i),
that imply
                           ^
lim_n_to_infinity   n var( R(n) ) 

         E(X**2)    E(Y**2)      E(X*Y)
= R**2 { -------  + ------- - 2--------- }.
         m(x)**2    m(y)**2    m(x)*m(y)


Comments on more general nonlinear estimator are also welcome.

Thanks a lot.

--J. Wang


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X-VMS-To: IN%"stat-l@vm1.mcgill.ca"
Newsgroups: bit.listserv.stat-l
Date:         Tue, 1 Sep 1992 14:03:00 EST
From:         LEGAULT@PHS.BGSM.WFU.EDU
Subject:      Kappa statistics
X-To:         stat-l@vm1.mcgill.ca

Anybody has some code to generate kappa statistics with multiple raters
and multiple categories.  Thanks
C. Legault
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Newsgroups: bit.listserv.stat-l
Date:         Wed, 2 Sep 1992 14:55:50 EDT
From:         Greg Nelson <GNELSON@UGA.BITNET>
Subject:      Phone Number for Data Description & Abacus

Does anyone have the phone numbers for Data Description (Data Desk) and
Abacus Concepts (Stat View)?

Thanks in advance....
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   Greg Nelson                       Bitnet:  gnelson@uga
   UCNS - Client Services             Phone:  (706) 542-5359
   The Unviersity of Georgia       Internet:  gnelson@uga.cc.uga.edu

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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