The free ARC software from the University of Minnesota will do some of this.
Look at
http://stat.umn.edu/ARCHIVES/archives.html
Jon Cryer
At 01:59 PM 4/10/00 -0500, you wrote:
Hello all,
I'm looking for software that can display a 3-D regression environment (x,
y, and z variables) and draw
Can't be done without knowledge of the joint distributions of
Y(t1), Y(t2),..., Y(t).
Jon Cryer
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Jon Cryer[EMAIL PROTECTED] ( )
with a fixed
mean since then you wouldn't be doing regression.
By the way, you have a fine Statistics Department at VPI. I am sure they
do excellent consulting.
Jon Cryer
At 06:39 PM 5/11/00 -0400, you wrote:
I would like to obtain a prediction equation using linear regression for
some data that I
If you think you need more precision than given in the
usual tables or with a caculator, think again. You are
probably fooling yourself since no distribution in the real
world is _exactly_ normal.
Jon Cryer
At 03:55 PM 7/5/00 GMT, you wrote:
Trying to use in finacial calcs. Hardcosed one
Olympio:
I used the Minitab menus to produce the following code
and graph the standard normal density. To do other densities
you need to change the range of values appropriately and
change the density calculated and stored.
Hope this helps.
Jon Cryer
MTB Name c1 = 'z'
MTB Set 'z'
DATA 1
years.
Why can't we teach meaningful statistics?
Jon Cryer
At 05:14 PM 12/13/00 +0100, you wrote:
I have some difficulties with following problem
(I need the solution urgently for tomorrow):
Production levels for Giles Fashion vary greatly according to consumer
acceptance of the latest styles
://jse.stat.ncsu.edu/
=
___
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Jon Cryer, Professor [EMAIL PROTECTED] ( )
Dept. of Statistics www.stat.uiowa.edu/~jcryer \\_University
and Actuarial Science
important features
in the graph.)
Jon Cryer
At 02:26 PM 1/27/01 GMT, you wrote:
Not sure if this is the best place to ask, but can anyone point me
towards any web sites that provide advice on using Excel for
technical/scientific graphing.
I am not sure why exactly, but I find the graphs produced
Alan:
Could you please give us an example of such a situation?
"Consider first a set of measurements taken with
a measuring instrument whose sampling errors have a known standard
deviation (and approximately normal distribution)."
Jon
At 01:10 PM 4/20/01 -0400, you wrote:
(This note is
Alan:
I don't understand your comments about the estimation of a proportion.
It sounds to me as if you are using the estimated standard error. (Surely
you are not assuming a known standard error.) You are presumably, also
using the normal approximation to the binomial (or perhaps the
These examples come the closest I have seen to having a known variance.
However, often measuring instruments, such as micrometers, quote their
accuracy as a percentage of the size of the measurement. Thus, if you
don't know the mean you also don't know the variance.
Jon Cryer
At 09:28 AM 4/23
I do not see how (probabilistic) inference is appropriate here at all.
I assume that _all_ employees are rated. There is no sampling, random
or otherwise.
Jon Cryer
At 11:14 AM 8/15/01 -0300, you wrote:
Silvert, Henry wrote:
I would like to add that with this kind of data [three-level
I wouldn't call bootstrapping sampling from a population.
Would you?
Jon Cryer
At 06:03 PM 9/21/01 GMT, you wrote:
Jon Cryer wrote:
But it would be bad statistics to sample with replacement.
Whew! saves me from having to learn about all that bootstrap
stuff
But it would be bad statistics to sample with replacement.
Jon Cryer
At 08:35 AM 9/21/01 -0300, you wrote:
>"@Home" wrote:
>> >
>> > Is there any downloadable freeware that can generate let's say 2000 random
>> > samples of size n=100 from a population
Robert:
even when N=20, a uniform distribution can be treated as
normal for most purposes.
I assume you meant to say that for N=20, the sample mean based on a random
sample from a uniform distribution can be assumed to have a normal
distribution
for most purposes.
Right?
Jon Cryer
At 01:16
and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
http://jse.stat.ncsu.edu/
=
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Jon
But then you should use a binomial (or hypergeometric)
distribution.
Jon Cryer
p.s. Of course, you might approximate
by an appropriate normal distribution.
At 11:39 AM 12/10/01 -0400, you wrote:
Dennis Roberts wrote:
this is pure speculation ... i have yet to hear of any convincing
case
where
I always thought that the precision of a scale was
proportional
to the amount weighed. So don't you have to know the mean
before you
know the standard deviation? But wait a minute - we are trying
assess
the size of the mean!
Jon Cryer
At 03:42 PM 12/10/01 +, you wrote:
Dennis Roberts wrote
Only as an approximation.
At 12:57 PM 12/10/01 -0400, you wrote:
Art Kendall wrote:
(putting below the previous quotes for readability)
Gus Gassmann wrote:
Dennis Roberts wrote:
this is pure speculation ... i have yet to hear of any convincing case
where the variance is known
David:
I have certainly never said nor implied that Excel
cannot produce reasonably
good graphics. My concern is that it makes it so easy to produce
poor
graphics. The defaults are absurd and should never be used. It
seems to me that
defaults should produce at least something useful. The default
Why not introduce hypothesis testing in a binomial setting where there are
no nuisance parameters and p-values, power, alpha, beta,... may be obtained
easily and exactly from the Binomial distribution?
Jon Cryer
At 01:48 AM 4/20/01 -0400, you wrote:
At 11:47 AM 4/19/01 -0500, Christopher J
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