Chebycheff's Inequality redivivus!
Tables of the tolerance factors may be found in the following two
venerable texts. (They can also be calculated from the inequality with a
number of numerical analysis packages for the Mac or the PC)
Engineering Statistics, 2nd Edition; Bowker and Lieberman,
- Original Message -
From: Donald F. Burrill <[EMAIL PROTECTED]>
To: mbattagl <[EMAIL PROTECTED]>
Cc: <[EMAIL PROTECTED]>; <[EMAIL PROTECTED]>
Sent: Thursday, May 18, 2000 10:31 AM
Subject: Re: Correlation
_
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> (2) Otherwise, an errors-in-variables regression may be called
On 17 May 2000 09:26:35 -0700, [EMAIL PROTECTED] (mbattagl) wrote:
> I have data that measures light intensity with a number of different
> techniques. One of the measurements (a direct measurement and "true"
> measurement of light intensity) involves lots of time, labor, and expense.
> The
Greetings
We're doing some research in statistical classification of abnormalities
in retinal images (that is, pattern recognization), and we need to
estimate the size of the sample nescesary. We've heard of some tables
for this purpose and would like to know if someone knows where to
find them
Herman Rubin wrote:
>In article <[EMAIL PROTECTED]>,
>Khai L. Lai <[EMAIL PROTECTED]> wrote:
>>I have a sort of a conceptual question.
>>When is it better to use the median and when is it better to use the
>>mean to represent the average of a given distribution of data? I
>>believe that the med
Dear Sir or madam,
Sorry to bother you with a minor "student" problem. I was referred to you
by professor Howell who suggested you may be able to
help me with a statistical problem I have not been able to solve myself so
far. To put it briefly, I would like to correct multiple and canonical
corr
On 17 May 2000 19:14:01 -0700, [EMAIL PROTECTED]
(Paul Gardner) wrote:
> [EMAIL PROTECTED] wrote:
> >
> > I have been looking for resources on attitude scale construction. The
< snip, many details of some questions and answers >
PG >
> References in the area didn't stop with Edwards 1957! Some
a colleague found this url which you folks may find useful:
http://www.itl.nist.gov/div898/handbook/index2.htm
nist is developing a stat handbook.
--
Any resemblance of any of the above opinions to anybody's official
position is completely coincidental.
Muriel Strand, P.E.
Air Resources Enginee
I'm not sure if this will help the immediate need, but the ASTER program
is the work of blind mathematician's PhD work and can "read" mathematics
(and arithmetic expressions) that have been typeset with the TeX system.
You can find more info here
http://www.cs.cornell.edu/Info/People/raman/aster/
I'm not sure but from the headers it looks to me like it is the
spammer, not list members, who are sending the remove messages to the
list. All the ones I saw did NOT show the list in the To: line.
So, it is usually not a good idea to ask to be removed from a spam
list. Such a reply verifies y
The crux of what Mike originally asked is "how good is my measurement
system." My (limited) understanding is that the concept of correlation is
not relevant to this application. Refer to some of the papers on the
calibration problem, such as those by Eberhardt & Mee (there are several
calibratio
On Wed, 17 May 2000, mbattagl wrote in part:
> The regression analysis is also somewhat confusing. Regression analysis
> is based on the fact that the Y (dependent variable) is random and the X
> (independent variable) is fixed with no error.
Not so much "on the fact that ..." as "on assignin
Dear list members,
A follow-up to my previous message --
It turns out that the megaputer list from which so many people were trying to
disassociate themselves was incorrectly configured somehow so that REMOVE
messages came back to edstat. A very helpful person at megaputer.com has
solved the pr
At 09:45 AM 5/18/00 +0200, Hassane ABIDI wrote:
>When the IDV variable (X) is random is it correct to use simple linear
>regression ? It is very important question in it's general context,
>that you have not really responded.
in what way would it make sense to say that X is random (and wha
At 11:49 AM 5/18/00 +1000, Paul Gardner wrote:
> However, such scales are limited in that
>they cannot be used to probe individuals' meanings, perceptions,
>personal experiences etc.
paul makes an excellent and cogent point ... and this applies to almost any
paper and pencil instrument (in cla
> "Herman" == Herman Rubin <[EMAIL PROTECTED]> writes:
Herman> While there are a few approaches prompted by the type of
Herman> data in a given field, it is the probability modeling
Herman> which comes from the field. Formulate your model, and
Herman> then have someone who un
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Dear list members,
Here we go again! As long-time list members know, North Carolina State
University will discontinue this list if people complain to the postmaster
about list-related problems. Occasionally, inappropriate messages are sent to
the list. Sometimes those messages give instruction
***
Dr. S.J. Humphrey
School of Economics
University of Nottingham
Nottingham NG7 2RD
tel: (0)115 951 5472
http://www.nottingham.ac.uk/~lezec/STAFF/Sh.htm
***
Another note on this: Much of the original Mandel work seems to have been
done using classical linear regression, although the later stuff
incorporated errors-in-variables regressions. There is a recent update on
the use of this technique (with further references) in:
Tan, C.Y.; Iglewicz, B. (1
===
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT COMPLAIN TO
THE POSTMASTER about these messages because the postmaster has no
way of controlling them, and
Kanaka Tatikola
Biostatistician
R.W. Johnson Pharmaceutical research institute.
1000, route 202
raritan, Nj 08869
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This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Pleas
+
Dr. Maximilian P.O. Baumann, MPVM
Course Co-ordinator
Postgraduate Studies in Tropical Veterinary Medicine
Faculty of Veterinary Medicine
Freie Universität Berlin
Luisenstr. 56
10117 Berlin / Germany
Phone+49 +30 2093 6063 (secretary)
> >The regression analysis is also somewhat confusing. Regression analysis is
> >based on the fact that the Y (dependent variable) is random and the X
> >(independent variable) is fixed with no error. For my case, both X and Y are
> >random and have some measurement error. Is it correct to
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