Anuvat --
Here comes my "standard" comment!
1. State your research question(s) in "natural language".
2. Create a model that enables you to answer the "natural language"
questions that YOU WANT.
3. Impose restrictions on YOUR MODEL that answers YOUR questions of
interest.
4. Use the computer
I would like to use SPSS v.9.0 for SPLIT Design anlysis. Could you help me
out?
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Rich Ulrich wrote:
> An example in English: I think this underlies the delicacy needed in
> the control of a nuclear power plant (in the most common U.S. design).
Actually, once a power reactor has been brought slowly but correctly into the
normal operating condition, it doesn't really require
Tony Rizzo wrote:
>
>
> The problem is that managers and executives have no practical
> understanding of variation or of methods for managing it.
>
>
> --
> Tony Rizzo
> CEO
> The Product Development Institute, Inc
In my experience you are not talking about the problem but about a
symptom of
A good example in regression is when one of the independent (explanatory)
variables is measured with error. For example, suppose the true relation is
y = xb+e
where the estimated relation is
y = x*b + e
and
x* = x + v
where v represents random measurement error. Then the least
If you've never seen the Minitab 13 survival/reliability analysis tools
available I strongly recommend you do so (via the downloadable demo at
www.minitab.com).
Both nonparametric and parametric (Normal, Lognormal, Smallest Extreme
Value, Weibull, Exponential, Logistic, Loglogistic). The nonparam
here is the simplest example of inconsistent statistcs you can imagine:
let X1, X2, ..., Xn be a sample of iid random variables with mean M.
lets consider the following statistic t for M:
t=x1
it's clearly inconsistent because it does not change at all as n grows.
(and of course it`s unbiase
Robert J. MacG. Dawson <[EMAIL PROTECTED]> wrote:
: dennis roberts wrote:
:>
:> i would say that what bob has indicated below is BIAS ... not consistency
: Of course it's bias... but bias *does* imply inconsistency. It's a
: simple implication between two important concepts, so makes a
I want to generate a bilinear time series of the form
y(t)=B*y(t-2)*e(t-1)+e(t)
where B is a constant and e~N(0,1). Is it customary to set y(0)=y(-1)=0 to
begin the series.
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I am aware that the standard error of the estimate (regression line) cannot
be used as an absolute measure of a single model utility. Is there any
guideline about its value? The ratio of standard error of the estimate and
the average of y values does help to decide when we evaluate more than one
m
On Wed, 06 Sep 2000 11:32:54 -0400, Art Kendall
<[EMAIL PROTECTED]> wrote:
> would someone name some physical or social phenomena where the measurements
> follow a Cauchy distribution?
>
> "Anon." wrote:
>
< snip, re: "not consistent" estimators >
> > How about the universal counterexample, the
Art Kendall wrote:
>
> would someone name some physical or social phenomena where the measurements
> follow a Cauchy distribution?
Put a laser pointer on the axis of a roulette wheel and spin it. The
position of the light-spot on the wall will be Cauchy distributed.
-Robert Da
would someone name some physical or social phenomena where the measurements
follow a Cauchy distribution?
"Anon." wrote:
> Chuck Cleland wrote:
> >
> > Hello:
> > If I understand the concept correctly, a consistent statistic is one
> > whose value approaches the population value as the sample
In article <[EMAIL PROTECTED]>, Art Kendall
<[EMAIL PROTECTED]> wrote:
#would someone name some physical or social phenomena where the measurements
#follow a Cauchy distribution?
Set up an infinite linear detector along the x-axis. This detector can
detect the position of an incoming photon. Let
dennis roberts wrote:
>
> i would say that what bob has indicated below is BIAS ... not consistency
Of course it's bias... but bias *does* imply inconsistency. It's a
simple implication between two important concepts, so makes a good point
to mention.
-Robert Dawson
==
i would say that what bob has indicated below is BIAS ... not consistency
...
At 12:18 PM 9/6/00 -0300, Robert J. MacG. Dawson wrote:
> More seriously, using the sample median as a robust estimator of the
>population mean is consistent if the population is symmetric, but
>inconsistent
Chuck Cleland wrote:
>
> Hello:
> If I understand the concept correctly, a consistent statistic is one
> whose value approaches the population value as the sample size
> increases. I am looking for examples of statistics that are _not_
> consistent. The best examples would be statistics that
Chuck Cleland wrote:
>
> Hello:
> If I understand the concept correctly, a consistent statistic is one
> whose value approaches the population value as the sample size
> increases. I am looking for examples of statistics that are _not_
> consistent. The best examples would be statistics tha
Hello:
If I understand the concept correctly, a consistent statistic is one
whose value approaches the population value as the sample size
increases. I am looking for examples of statistics that are _not_
consistent. The best examples would be statistics that are not
computationally complex an
I've received email, the performance problem with Survival analysis
was fixed in JMP version 4.0.2
a patch exists to move from 4.0.0 to 4.0.2
John Sall benchmarked 6 groups 162,000 rows,
version 4.0.2 ran all by groups in 7 seconds total.
Previously when I ran JMP 3.2, the total time (without time
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