I am trying to determine the reliability of a balance test for individuals
with Alzheimer's disease. The test involves six different conditions, with
each condition consisting of three trials (6 x 3). Each individual has
performed the complete test twice, which gives me 6 trials for each of the 6
In article <[EMAIL PROTECTED]>,
Jerry Dallal <[EMAIL PROTECTED]> wrote:
>Herman Rubin wrote:
>> Using a non-linear transformation on data generally destroys
>> the underlying structure. Regression analysis does not in
>> any way need normality of data. Models have to come from
>> knowledge of
I ([EMAIL PROTECTED]) wrote:
: Herman Rubin wrote:
:
: > Using a non-linear transformation on data generally destroys
: > the underlying structure. Regression analysis does not in
: > any way need normality of data. Models have to come from
: > knowledge of the subject field, not from data an
Hi Ronny,
First, both the centred and non-centred moving averages are used in
smoothing time series. The latter is used in short term forecasting -
you are assuming a model where the mean is locally constant, so the
forecasting process consists of estimating the current value of that
mean and pro
- I am taking a second try at this question from dmr -
On 17 Jul 2001 15:23:29 -0700, [EMAIL PROTECTED] (dennis roberts) wrote:
> At 04:08 PM 7/17/01 -0400, Rich Ulrich wrote:
>
> >But, so far as I have heard, the league MEANS stay the same.
> >The SDs are the same. There is no preference, t
A time series plot of the data shows three things going on:
1. there is seasonality of period 12
2. there is trend
3. there is increasing spread.
When you use moving averages, the number of periods averaged should match
your seasonality, which means you would have to use a 12 perio
Say I have a binary data matrix for which both the rows (observations) and
columns (variables) are computely permutable. (In practice, about 5-20% of
the cells will contain 1's, and the remainder will contain 0's.) Assume
that the expected probability of a cell containing a '1' is identical for
The seasonal indices represent the amount by which the seasons vary from
after. If there is no seasonality, then you would expect all of the indices
to be 1.00 so the total (for quarterly data) should be 4.00. With
seasonality, some are above 1.00 and others are below 1.00 but the total
should sti
in general for numbers a to b
subtract a and divide by (b-a)
=
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Nos
permitimos, sólo en esta ocasión, presentarle una iniciativa de interés
periodístico que quizás pueda ser de su interés.
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Frank E Harrell Jr wrote:
>
> Whenever a multi-step strategy is used there should
> be a multi-step simulation to verify that statistical
> properties such as confidence coverage are preserved.
>
> Frank Harrell
>
I like that as a nice overall summary of how to approach stepwise
methods. It'
Herman Rubin wrote:
> Using a non-linear transformation on data generally destroys
> the underlying structure. Regression analysis does not in
> any way need normality of data. Models have to come from
> knowledge of the subject field, not from data analysis, unless
> the fit is really except
Kelly Smith wrote:
>
> Hi, I have a model with linear , quadratic and two way interactions. I
> did a step wise regression , eliminated some terms and then did the
> box-cox transformation. Now ,is it possible that after I did the
> box-cox trans, some of the terms that were removed will become
>
In article <[EMAIL PROTECTED]>,
Kelly Smith <[EMAIL PROTECTED]> wrote:
>Hi, I have a model with linear , quadratic and two way interactions. I
>did a step wise regression , eliminated some terms and then did the
>box-cox transformation. Now ,is it possible that after I did the
>box-cox trans, some
I really do know that Durban is in South Africa (not South America)!
Sorry about the embarrassing blunder.
Jackie Dietz
--
E. Jacquelin Dietz (919) 515-1929 (phone)
Department of Statistics, Box 820
Dear Colleagues,
The Sixth International Conference on Teaching Statistics, ICOTS-6, will
take place in Durban, South America, on July 7-12, 2002. The theme of
the conference is "Developing a statistically literate society." The
second conference announcement, containing detailed information ab
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