Dear Colleagues,
Version 4.4 of Matrixer econometric program was recently released.
The following features were added:
# Dynamic forecast for Box-Jenkins model (since version 4.3.1)
# Powerful capabilities for importing data from text files
There are several other improvements and bug fixes.
This has nothing to do with normal distributions, as Robert Dawson noted
yesterday. The article I cited makes no mention of normal distributions,
and I didn't mean to imply that it did.
Rich Strauss
At 04:29 AM 11/29/01 +, Jerry Dallal wrote:
Rich Strauss [EMAIL PROTECTED] wrote:
:If the
Donald Burrill wrote:
Then, again, you are asserting that this is not a probability problem but
a measuring-skill problem. Your postulate that the subsequent
executioners must have reduced probabilities (or success rates) only
makes sense if all executioners use the same method of execution:
During years of passionate practitioning and round-the-clock chaotic
learning in the field of applied statistics, I have been desperately longing
to learn the funadamentals of mathematical statistics, as well as start
working as statistician. As the later recently came true, I simply had to
make
Gaj Vidmar wrote:
sample size | distribution(s) | population var | appropriate test
--
large (say, N30) | normal | known | z (obvious)
No, here large is irrelevant. N=1
Speaking of normal distributions and cancer clusters, does anybody (a)
agree with me that the human race in general has a better feel for the
normal distribution than the binomial distribution, and the Poisson is
still worse - and (b) know of any experimental evidence for this?
That is, my
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Whoops! Sorry, Ken. Made a mistake. You're design is orthogonal
(see below).
A B C D E F
A 1.0 0.0 0.0 0.0 0.0 0.0
B 0.0 1.0 0.0 0.0 0.0 0.0
C 0.0 0.0 1.0 0.0 0.0 0.0
D
[EMAIL PROTECTED] (Ken K.) wrote in message
news:[EMAIL PROTECTED]...
Focusing on designs that have resolution V or higher, your only two
options are a full factorial (you don't want that) and a half fraction
(2^{6-1}). If you six factors are A B C D E F, your design would have
32 runs and
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If x values have a normal distribution, is there a normal distribution
for x^2 ?
Thanks a lot for your help.
Best regards.
Dr. Ludovic DUPONCHEL
UNIVERSITE DES SCIENCES DE LILLE
LASIR - Bât. C5
59655 Villeneuve d'Ascq
FRANCE.
Phone : 0033 3 20436661
Fax
I believe I have seen reference posted here to a teacher who would challenge
his students as follows:
Do one and only one of the following:
1. flip a coin 200 times and record the outcomes
2. make up the outcomes of 200 coin tosses without ever flipping a coin
Turn in in your record of the
On Thu, 29 Nov 2001 15:48:48 +0300, Ludovic Duponchel
[EMAIL PROTECTED] wrote:
If x values have a normal distribution, is there a normal distribution
for x^2 ?
If z is standard normal [ that is, mean 0, variance 1.0 ]
then z^2 is chi squared with 1 degree of freedom.
And the sum of S
I didn't think you had. I thought your response was more along the
lines of, Speaking of disease clusters Actually, Robert
Dawson noted a normal distribution would be unlikely to apply
which is along the lines of my I *think* there's an unfortunate
use of the word
normal here, but I can't
Rich Ulrich wrote:
On Thu, 29 Nov 2001 15:48:48 +0300, Ludovic Duponchel
[EMAIL PROTECTED] wrote:
If x values have a normal distribution, is there a normal distribution
for x^2 ?
If z is standard normal [ that is, mean 0, variance 1.0 ]
then z^2 is chi squared with 1 degree of
On a quiz, I set the following problem to my statistics class:
The manufacturer of a patent medicine claims that it is 90%
effective(*) in relieving an allergy for a period of 8 hours. In a
sample of 200 people who had the allergy, the medicine provided
relief for 170 people. Determine
Stan Brown wrote:
On a quiz, I set the following problem to my statistics class:
The manufacturer of a patent medicine claims that it is 90%
effective(*) in relieving an allergy for a period of 8 hours. In a
sample of 200 people who had the allergy, the medicine provided
relief for 170
forget the statement of the null
build a CI ... perhaps 99% (which would correspond to your .01 sig. test) ...
let that help to determine if the claim seems reasonable or not
in this case ... p hat = .85 .. thus q hat = .15
stan error of a proportion (given SRS was done) is about
stan error
Gus,
Stan's two alternatives were correct as stated - they were two one sided
tests, not a one sided and a two sided test.
Stan, in practical terms, the conclusion 'fail to reject the null' is
simply not true. You do in reality 'accept the null'. The catch is that
this is, in the research
And to add on to Rich Ulrich's note, if the mean isn't zero, then z^2
is non-central chi-square.
-Dick Startz
On Thu, 29 Nov 2001 12:29:47 -0500, Rich Ulrich [EMAIL PROTECTED]
wrote:
On Thu, 29 Nov 2001 15:48:48 +0300, Ludovic Duponchel
[EMAIL PROTECTED] wrote:
If x values have a normal
- I am just taking a couple of questions in this note -
On Thu, 29 Nov 2001 13:16:24 +0100, Gaj Vidmar
[EMAIL PROTECTED] wrote:
[ ... ]
I saw some decent comments about the table; the table
was not very useful.
z is used with large N as 'sufficiently good' approximation for t.
z is used
On Thu, 29 Nov 2001 14:37:14 -0400, Gus Gassmann
[EMAIL PROTECTED] wrote:
Rich Ulrich wrote:
On Thu, 29 Nov 2001 15:48:48 +0300, Ludovic Duponchel
[EMAIL PROTECTED] wrote:
If x values have a normal distribution, is there a normal distribution
for x^2 ?
If z is standard normal
Hi All,
Suppose we have a stochastic processes
with an unknown parameter (the parameter
is used in a general sense, it may a stochastic
mean of the process, then it's current value is also
a parameter).
We observe the dynamics of this process
and update our estimate of this parameter.
It
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