statistics has this.
As for algorithms, it is a problem of numerical analysis,
not of statistics.
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Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette
inconsistent, and it is even possible
that nothing will be done.
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or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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, and attack this.
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that a canned program will do what you
need done.
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Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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uses a decision approach, none of this is correct,
even if the Fisher model happens to be true.
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Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette
In article [EMAIL PROTECTED],
Jerry Dallal [EMAIL PROTECTED] wrote:
Herman Rubin wrote:
I also doubt
whether learning to compute answers gives any insight
into the concepts, except for those with good research
potential, and even there it tends to confuse.
It depends on what learning
is that normality is made far
less important.
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-orthogonal design ?
The nice simple ANOVA procedures are no longer valid.
This does not mean that nothing can be done.
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or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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reported here that would preclude a two way
fixed effects ANOVA.
The ANOVA MODEL is not affected by this. The analysis is.
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Herman Rubin, Dept. of Statistics
In article [EMAIL PROTECTED],
dennis roberts [EMAIL PROTECTED] wrote:
At 09:58 AM 4/26/01 -0500, Herman Rubin wrote:
For the important part, it is ALWAYS appropriate. An
argument against open book is that they spend too much
time looking things up, but I always allow crib sheets.
This way
In article [EMAIL PROTECTED],
Alan McLean [EMAIL PROTECTED] wrote:
Herman Rubin wrote:
In article [EMAIL PROTECTED],
Alan McLean [EMAIL PROTECTED] wrote:
Robert J. MacG. Dawson wrote:
Alan McLean wrote:
The p value is a direct measure of 'strength of evidence'.
and Lise DeShea
of the
distribution of the sample variance to the chi squared
distribution is likely to be worse than that of the sample
mean to the normal distribution.
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only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558
that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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to be of much use, but that is a very
different question.
But this should be the only question. What action should
be taken?
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Herman Rubin, Dept. of Statistics
.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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the problem
In article 9c0djs$9vs$[EMAIL PROTECTED],
Glen Barnett [EMAIL PROTECTED] wrote:
Herman Rubin [EMAIL PROTECTED] wrote in message
9bv951$[EMAIL PROTECTED]">news:9bv951$[EMAIL PROTECTED]...
Any good book on probability using measure theory
is likely to have the necessary proofs
more decimal place of
accuracy. Even if p = .5, it will take 10 times as many.
This is especially important in the tails.
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University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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that even assuming that one has a mixture of a
few distributions of a given type, the estimation
problem is quite difficult.
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Herman Rubin, Dept. of Statistics
observations
does not lead to too quick acceptance.
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Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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ly is
forced to come dowm to the essentials.
As for developing intuition, this does not seem to be done
in any book on any subject.
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e problem in between unfortunately depends on the particular
prior assumptions of the user. This follows from reasonable
numerical examples.
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Herman Rubin, Dept. of S
is address is for information only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL PROTECTED] Phone: (765)494-6054 FAX: (76
rtment or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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is for information only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558
ssumptions are important and which are not, from
the standpoint of the user.
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Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL
aim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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Inst
.
Is this so? If so, where is this discussed in more detail?
Why does it have to be discussed in more detail? Conditional
probability is probability.
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Herman
ionary differentiable Gaussian
process is another.
This is thrown together off the cuff. There are lots of
others.
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Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafa
are made.
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Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
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thing about what can and cannot be done, I
suggest you bring in a good mathematical statistician who
does not just use simple models early in your research.
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this, the K-S test is conservative; that
is, the actual p-value is smaller than you think.
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Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907
s is another variable, and it is variable. The only
way you could know the amount of insulin is to use
more complicated tests for it; these are usually not
done, except by medical researchers.
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n
the packages, is no good if the recipe is inappropriate for
the material to be cooked. This is your situation.
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Herman Rubin, Dept. of Statistics, Purdue Univ., West
aim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558
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Inst
do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558
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