HDTenEightyP/NetNews huggingface dataset:
From: jeff@kuhub.cc.ukans.edu (Jeff Bangert)
Newsgroups: bit.listserv.stat-l
Subject: Non-linear Regression in Chemistry
Date: 3 Sep 92 06:40:30 CDT
Organization: University of Kansas Academic Computing Services

A chemist has asked me to solve a problem: she has data and a model
which is to be fit by 'least squares'.  It looks like non-linear
regression, except that:

    1. the model has two equations
    2. both are non-linear
    3. there are parameters common the two equations.

I would like to know:

    1. is there a 'standard' method for solving this problem?
    2. is there literature in stat or chemistry which I could read?

Clearly, I can form the sum of squared errors for each equation and
add them together.  I have lots of methods for minimizing the result.
However, this seems to ignore the question of the weighting of the two
equations.

I solved this kind of problem several years ago by writing FORTRAN +
IMSL.  Now that it has come up again, I wish I had some backup
literature that at least suggests the 'standard' solution method.  I
don't like reinventing the wheel.

Since the current data matrix is small, 4 by 2, I'm going to use
non-linear optimization in Quattro Pro this time.  It produces nice
graphs.  But, if I stick with QP, I'll also have to calculate the
standard errors of the parameter estimates.  Right now, I'm not
looking forward to this.

Thanks for the help,
-- 
Jeff Bangert			jeff@kuhub.cc.ukans.edu
Computer Center			jeff@ukanvax.bitnet
University of Kansas
Lawrence, KS 66045
(913)864-0466
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Acknowledge-to:    XIC@NIHCU.BITNET
X-Acknowledge-to:  XIC@NIHCU.BITNET
Newsgroups: bit.listserv.stat-l
Date:         Fri, 28 Aug 1992 09:31:35 EDT
From:         XIC@NIHCU.BITNET
Subject:      More on SUDAAN 6.0 software

As noted earlier, the software SUDAAN is produced by Research
Triangle Institute and B. Shah is its guiding light.  This
software is designed for data analysis of survey data
(weights, stratification, clustering).

The new release 6.0 of SUDAAN has a procedure SURVIVAL
(earlier releases did not).  It works on MS-DOS PCs (386 or
above only), DEC VAX under VMS, DEC VAX under ULTRIX, IBM
mainframes under MVS, Sun SPARCstations under SunOS.

For more specific information, contact
Ms. Sandy Paschall
Statistical Software Center
Research Triangle Institute
P. O. Box 12194
Research Triangle Park, NC 27709-2194
Phone (919) 541-6602

I hope this helps.

from:
Michael P. Cohen
National Center for Education Statistics
Washington, DC 20208-5654
Bitnet:  XIC@NIHCU
Internet:  XIC@CU.NIH.GOV
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Date:         Thu, 27 Aug 1992 18:31:55 EDT
From:         Greg Nelson <GNELSON@UGA.BITNET>
Subject:      KANO Research Technique

Does anyone know anything about a research technique called "KANO"?  It is
used for attribute prioritization in product development...

p.s. - sorry for the cross posting and it's potential non-relevance, but after
all research is a primary foci of many subscribers here....

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

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
From: jerry@nutmeg.hnrc.tufts.edu (Jerry Dallal)
Newsgroups: bit.listserv.stat-l
Subject: Re: Meta Analysis ???
Date: 29 Aug 92 23:42:49 GMT
Organization: USDA HNRC at Tufts University

In article <STAT-L%92082805302967@VM1.MCGILL.CA>, LOFJUST@VM.UNI-C.DK (Just Jensen) writes:
> A colleauge has asked how to combine information from different experiments
> all related to various treatments with hormones. These are all very expensive
> experiments and therefore tends to be small. What is the best way to
> combine evidence?. I have suggested ML/Weithted Least square.
> In the back of my head i have the word META-Analysis.
> I would very much appreciate references and comments on this/these? subjects
> 

I think people on the net would like to help everyone as much as possible,
but pointing you to a set of references regarding meta-analysis would be doing
you more of a disservice than a service.  If you've got sparse, expensive data
I suggest you hire a statistician having experience with such data. 
If the data don't pass the inter-ocular traumatic test (i.e., the results don't
hit you between the eyes) there's a good chance you'll get into big trouble if 
you try to solve your problems with some technique with which you have no
experience.

Certainly, if the data cost thousands to collect, they're worth a few hundred
to get properly assessed.

(This is *not* a flame.  It is offered as a helpful suggestion and my
professional assessment of your predicament.)
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Newsgroups: bit.listserv.stat-l
Date:         Wed, 2 Sep 1992 10:11:00 EDT
Comments:     208 Cedar Bldg.
Comments:     University Park, PA USA
Comments:     AC 814-863-2401
From:         Dennis Roberts <DMR@PSUVM.BITNET>
Subject:      t test assumptions

Of course, one major problem with the classic t test (and likewise anova) is
that the assumption of equal population variances is not very tenable, in
most cases.  Yes, in a simple experiment, one assumes that the treatment
ONLY impacts on central tendency, but ...  is that reasonable?  I doubt it.
Thus, this is why the Behrens-Fisher approach is more reasonable, although
it may have less power.  The realities are: the homogeneous variance
assumption is not likely to be true ...  and classic t tests fool people ...
by giving them a little more power ..into thinking that they are more
sensitive than they really are.  It is better to give up a little power, and
deal in reality than continuing to make unreasonable assumptions.
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Newsgroups: bit.listserv.stat-l
Date:         Wed, 26 Aug 1992 19:49:56 MDT
From:         vokey@HG.ULETH.CA
Subject:      RE: Inverse Normal

Gary Thomasson writes:
  Does anyone have code (preferably, in C code, but, Fortran, Pascal,
etc. will do) for the Inverse Normal Distribution Function.
This is the function that returns the standard normal (Gaussian)
random variable x given a probability p.

------
There are many approximations.  One, from Abramowitz & Stegun (1968), returns
x for tail probability Q (0 < Q <= .5):

x = t - (c0+c1*t+c2*t^2) / (1+d1*t+d2*t^2+d3*t^3) + e(Q)

where ABS(e(Q)) < 4.5 * 10^-4
t = SQR(ln(1/Q^2))
c0=2.515517     d1=1.432788
c1=0.802853     d2=0.189269
c2=0.010328     d3=0.001308

John R. Vokey <vokey@hg.uleth.ca>
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Newsgroups: bit.listserv.stat-l
Date:         Wed, 2 Sep 1992 07:20:02 -0400
From:         712_dbh3@WHITE.WHOI.EDU
Subject:      Fisher's exact test
X-To:         stat-l@mcgill1.bitnet@MAILHOST.span.nasa.gov

Attn: Dr. Dick Darlington

I have tried to reply to your mail message of 31-Aug-92, but have been unable
to reach you with our mail utility.  Thank you for your offer of help regarding
Fisher's exact test.  As you will see (or have seen) I have posted a brief
summary of the responses I got regarding my query (assuming I posted it
correctly!).  If what I have posted seems way off base, any comments would
be appreciated.

Thank you.

Daniel Hayes
712_dbh3@white.whoi.edu



I apologize for broadcasting a message directed at an individual across the
list, but was unable to reach Dr. Darlington in any other (email) way.
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Date:         Thu, 27 Aug 1992 12:24:45 U
From:         dick darlington <dick_darlington@QMRELAY.MAIL.CORNELL.EDU>
Subject:      Inverse normal

                                                                     7:08 AM
  OFFICE MEMO                                                 Time:
                      Subject:
                      Inverse normal                                08-26-92
                                                              Date:

Inverse normal formulas (for computing z from p), such as John Vokey cites, are
less accurate than the best formulas for computing p from z.  Thus if you want
better accuracy you can first compute z from the inverse formula.  Then use a
z-to-p formula to see how far this z is off in terms of p; call this value E
for error.  Then compute the ordinate at the z you computed, calling it Ord(z).
 Then adjust z by E/Ord(z).  In principle you could perform this adjustment two
or more times, though I find excellent accuracy from just the one iteration.
Dick Darlington, Psychology, Cornell
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                     @UHCCVX.UHCC.HAWAII.EDU>
Newsgroups: bit.listserv.stat-l
Date:         Wed, 26 Aug 1992 05:14:25 -0400
From:         John Wendell <WENDELL@UHCCVX.UHCC.HAWAII.EDU>
Subject:      Philosophy and Stats

Wai Ming states: "Leave Stat-L for statistics, Philo board for philosophy."

Well, it may not be so easy to differentiate statistics from philosophy, at
least at the most fundamental level. Certainly the question of inference is
central to both disciplines. It seems to me that the concept of
probability, which underlies so much of statistics, is every bit as
slippery and intractable as such philosophical concepts as existence or
God. It can really get muddled if we start asking questions about the
probability that God exists. Remember Einstein's famous quote "God doesn't
play dice" in response to quantum mechanic's definition of existence in
space and time in terms of a probability distribution. Perhaps statistics
is not only a philosophy but a religion as well, with a God that does play
dice; but here I go wasting Stat-L band on a discussion that belongs
on the Religion board I suppose! |:-)

Love you all (my therapist made me say that), - John

WENDELL@UHCCVX.UHCC.HAWAII.EDU.Internet
WENDELL@UHCCVX.Bitnet

-------
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X-Acknowledge-To: <ECHDTS@LSUVM>
Newsgroups: bit.listserv.stat-l
Date:         Thu, 3 Sep 1992 10:35:19 CDT
Comments:     Resent-From: ECHDTS@LSUVM
Comments:     Originally-From: scowles@CKM.UCSF.EDU
From:         ECHDTS@LSUVM.BITNET
Subject:      Re: Help simulation

----------------------------Original message----------------------------
orig:  From: Nino Pagliccia <pagli%UNIXG.UBC.CA@ucsfvm.ucsf.edu>
orig:  Subject:      Help simulation
orig:  Hi!  Does anybody know if there is a simulation list?
orig:  I want to enquire about the simulation language DYNAMO.
orig:  Thanks.

there is a newsgroup, comp.simulation, that deals with simulation
topics.


If you dont't have access to USENET, you can subscribe at the following
address: simulation-request@uflorida.cis.ufl.edu.

Daniel Scholl
ECHDTS@LSUVM.LSU.EDU
ECHDTS@LSUVM.BITNET
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Date:         Wed, 2 Sep 1992 15:56:00 EDT
From:         "SI00::SIGNORINOC" <signorinoc%si00.decnet@V3.HANSCOM.AF.MIL>
Subject:      Simulation List
X-To:         "stat-l" <stat-l@vm1.mcgill.ca>

                          E L E C T R O N I C   M A I L
                     (DDN Host Address:  V3.HANSCOM.AF.MIL)

                                        Date:      02-Sep-1992 15:56
                                        From:      Lt Curtis S. Signorino
                                        Username:  SIGNORINOC
                                        Dept:      ESC/XRPM
                                        Tel No:    617-377-7483 (DSN 478)

TO:  _WINS%                               ( _DDN[STAT-L@VM1.MCGILL.CA] )


Subject: Simulation List

    For those without usenet access (i.e., can not access
    comp.simulation), there is also a simulation list.  To be added to
    the list, email a request to

    	      simulation-request@uflorida.cis.ufl.edu

    Sorry to post this here, but my reply to the originator got
    bounced back.

    Curt Signorino
    signorinoc@v3.hanscom.af.mil
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Date:         Tue, 25 Aug 1992 23:01:42 -0500
From:         PARKERRA@VUCTRVAX.BITNET
Subject:      Stat Book for MDs

The British Medical Assn. published a book called "Statistics at Square One"
in the late 1970s.  I don't know if it is still in print.  It was based on
a series of articles in the BMJ (15?), at a very basic level, but very good
as an introduction.
Bob Parker
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Newsgroups: bit.listserv.stat-l
Date:         Wed, 26 Aug 1992 16:41:00 -0400
From:         Meredith_Warshaw@FRANKSTON.COM
Subject:      Re: bivariate survival analysis
X-To:         LEGAULT%PHS.BGSM.WFU.EDU%VM1.MCGILL.CA%uucp@frankston.com
X-cc:         stat-l@frankston.com

I have just the program for you!  Unfortunately, it is not in one of the
large packages.  It is called Mulcox, and was developed by LJ Wei (Harvard)
and Dan-Yu Lin (University of Washington).  It is designed for exactly the
type of situation you are in.  It allows you to have more than one
observation per unit, and have any number of missing observations.  I have
used it for psychiatric epidemiology data, where we have data from two waves
of interviews and many respondants were only reached one time, and found it
very useful (although the user interface is not fantastically "user friendly"
yet).  I would suggest that you contact Lin directly, and he can send you
Fortran code for the program as well as the relevant references.  I would
guess that he is in the Biostatistics Department.

Meredith Warshaw
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Date:         Fri, 4 Sep 1992 09:38:21 -0700
From:         JAMES@UCRAC1.UCR.EDU
Subject:      RE: Non-linear regression

for comparison of straight lines look at any decent text on multivariate
regression and the use of dummy variables, e.g.
kleinbaum&kupper applied regression analysis or netter & wasserman apllied
linear statistical models.

for non-linear models, I am not sure, but I'd try to extend the same logic.
This is no problem if you have access to SAS or a similar package.
james ssemakula
u.c. riverside
From: jerry@nutmeg.hnrc.tufts.edu (Jerry Dallal)
Newsgroups: bit.listserv.stat-l
Subject: Cheating
Date: 26 Aug 92 02:14:41 GMT
Organization: USDA HNRC at Tufts University

It has been my experience that while the signal-to-noise ratio of this
newsgroup is greater than many, it is *not* infinite.  In particular, many
responses to queries are a bit off the mark and I sometimes despair for the
poster who receives a set of sometimes contradictory repsonses to a question.

The point?  If student post homework or exam questions to the net, they're
still faced with the problem of separating the wheat from the chaff.  Until
we reach the point where many of us are annoyed with obvious homework questions
(where we can identify book and problem number) why don't we all (individually)
just continue to respond to those queries that pique our interest and let the 
others pass?

Sorry to have further lowered the signal-to-noise ratio with this post.
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Newsgroups: bit.listserv.stat-l
Date:         Thu, 27 Aug 1992 16:41:10 EDT
From:         "r. j. harvey" <HARVEYRJ@VTVM1.BITNET>
Subject:      p value program for t/F

dear members:
  I realize that this is a terribly basic question, but I'll ask anyway, as
my search thru the numerical analysis books in my library has not yet produced
an acceptable solution (perhaps I'm looking in the wrong place).
  I need an algorithm to compute the p value given the value of a t or F
statistic, and associated df.  I've found a number of quickie approximations,
but they don't seem to be especially precise (only 2-3 decimals, in some cases,
when compared to SAS).  in short, I need something more precise.
  a reference to a good algorithm would be much appreciated!

r. j. harvey
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Subject: (no subject given)
Newsgroups: bit.listserv.stat-l
Date:         Thu, 3 Sep 1992 22:23:00 -0400
From:         Meredith_Warshaw@FRANKSTON.COM
Subject:      missing mail

I  have not received any stat-l messages for a few days.  Is something wrong
with listserv, or with my account?
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Date:         Thu, 27 Aug 1992 14:09:00 +0800
From:         VLDNASEQ@HKUCC.BITNET
Subject:      Probability solution ?

Dear Stat-L,

A few days ago, I posted a question of probability on this board.  The
question is on the probability of finding all subclones in a subclone
library of eight DNA fragments. In these few days, I received a few
answers. However, I do not think that they are right. Most of them are
on the right track, I must admit. The reason that I say that the answers
I received are mathematically wrong is that:

1)  mathematics is an exact thing. You get a definite probability of a
    number of subclones you screen, assuming that in your calculation,
    no approximation was taken.  Then, if the number of subclones you
    screened is less than eight, the probability of finding all eight
    subclones will be equal to zero. I mean equal. So substituting
    numbers from 1 to 7, the probability solution must be equal to zero.
    This provides a rigorous test on the validity of the final equation
    deduced. Non of the solution I received pass through this test.
2)  As the number of samples approach infinitive, probability will
    equal to one. This provides another test for the equation.

After thinking the approach of the suggestions I received, I finally decided
to solve the problem myself, though my mathematics level is only grade 11.
I am happy to share with you my finger counting approach to solve the
problem.

For a subclone library with 8 different subclones, assume that there are
infinitive numbers of bacterial colonies available, and distribution of the
8 different subclones are even. Let the probability of finding subclone be
P(x) where x is the number of kinds of subclones obtained after picking n
colonies.

^      means to the power of
(3C2)  means the combination of two kinds in three kinds, equal to 3
.      means times
/      means divided by

for n is an integer which is not zero

P(1) = (1/8)^n                  pick one particular kind of subclone in n
                                times of picking
P(2) = (2/8)^n -(2C1).P(1)      probability of picking any two kinds of
                                subclone minus that of picking only one kind
P(3) = (3/8)^n -(3C2).P(2) - (3C1).P(1)    picking three kinds minus two
                                kinds only minus one kind only
.
.
.
.

P(7) = (7/8)^n-(7C6).P(6)-(7C5).P(5)-(7C4).P(4)-(7C3).P(3)-(7C2).P(2)-(7C1).P(1)

P(8) = 1 - (8C7).P(7) - (8C6).P(6) - (8C5).P(5) - (8C4).P(4) - (8C3).P(3)
         - (8C2).P(2) - (8C1).P(1)

After substitution an simplification of the equation

P(8) = [8^n - 8.7^n + 28.6^n - 56.5^n + 70.4^n - 56.3^n + 28.2^n - 8] / 8^n

Note that this is a sequence, and the equation can be extended to any
number of subclones in the library.

Now I substitute n = 1 to 7 , P(8) = 0
For n approach infinitive P(8) = 1
So I am quite satisfied with this equation

Please comment
Wai Ming
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Newsgroups: bit.listserv.stat-l
Date:         Wed, 26 Aug 1992 22:34:12 EDT
From:         Marshall Feldman <MARSH@URIACC.BITNET>
Subject:      Philosophy and Stats

While a good deal of stats does not have an immediately obvious relation to
philosophy, at a very fundamental and important level the two disciplines
are inseperable.  In virtually all applications, statistics is about
obtaining knowledge through empirical measurements (describing, making
inferences, etc.).  Hence, unlike most other branches of mathematics,
it is impossible to separate statistics from epistemology and the
philosophy of science.  Some forms of statistics, such as so-called
"causal models" presume distict ontological positions, while others,
such as hypothesis testing, presume distinct epistemological positions.

I still remember the question on my probability theory final examination
twenty-five years ago: "Probability is a branch of mathematics and therefore
is based on the axiomatic method; it is inherently axiomatic and deductive.
Yet we use it to enhance our understanding of the world.  Explain how this
is possible."

The question underlies all empirical applications of statistics.

Marsh Feldman
Community Planning                      Phone: 401/792-2248
204 Rodman Hall                           FAX: 401/792-4395
University of Rhode Island           Internet: marsh@uriacc.uri.edu
Kingston, RI 02881-0815
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Date:         Fri, 28 Aug 1992 12:48:00 +0800
From:         VLDNASEQ@HKUCC.BITNET
Subject:      another probability solution

Dear Stat-L,

Since my posting of my probability solution, I received an interesting
comment. I would like to hear the comment from you.

The following is a modified abstract of the message I received :

The rule of probability tells that if you have k indistinguishable
balls to put in n distinguishable boxes, then the number of
ways of arranging that is

        (n+k-1)C(k)

Now the boxes are your colours, ie n=8.  So total number of ways
is
        (k+8-1)C(k)  =  (k+7)C(k)

But, the number of ways above allows the possibility of empty boxes,
ie no balls of a colour.

What you want is the number of ways of arranging k indistinguishable
balls into n distinguishable boxes so that none of the boxes is empty
ie each colour must score.  That is simple because you just put
a ball into each box first, then there are (k-8) balls left to
put into the n boxes and the number of ways of doing so is

        (k-8 + 8 - 1)C(k-8) = (k-1)C(k-8)

So the required probability is

       (k-1)C(k-8)
P =   ------------
        (k+7)C(k)

Checking, when k=0 to 7, the probability is meaningless.
When k approach infinitive, P = 1

Please comment!

****************************************************************

Another response to Wai Ming's solution is that the probability
of picking one clone is (1/8)^n  should be (1/8)^(n-1), I agree,
but I have already take this into account in the P(8) equation.

Sincerely,

Wai Ming
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Newsgroups: bit.listserv.stat-l
Date:         Thu, 3 Sep 1992 15:56:40 -0500
From:         Al Surkan <surkan@CSE.UNL.EDU>
Subject:      Simulation Texts.

Curt Signorino,

I am modernizing our systems simulation course here.  Do you have any two

suggestions for new and modern text, not belaboring the antique ideas of

the ones of 20 years ago.  Do you have a list of recent texts you might

email of paper mail me.   Thanks for any help.  Do you have a course

syllabus you might show me?

Sincerely yours,

A. J. Surkan



===============================================================================
Dr. Alvin J. Surkan                     	Department of Computer Science
surkan@cse.unl.edu				Ferguson Hall 115
phone: (402)-472-3480/ msg: (402)-472-2401	University of Nebraska - Lincoln
fax  : (402)-472-7767  phone(402)-489-2132	Lincoln, NE 68588-0115
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