On Fri, 7 Apr 2000, dennis roberts wrote in part:
> At 04:00 PM 4/7/00 -0500, Michael Granaas wrote:
>
> >But whatever form hypothesis testing takes it must first and foremost
> >be viewed in the context of the question being asked.
< snip >
> to ... ask the question of real intere
Could someone please direct me to a reference or a URL that has information
on decomposing and plotting a 3-way interaction in MRC?
I have done this with a 2-way interactions before, but I'm not sure I've
got it right when I extrapolate to a 3-way interaction.
By "decompose", I mean to factor one
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Dear all,
I am interested in what others are doing when faced with techniques that
appear in standard textbooks that are "simpler" (either computationally
and/or conceptually) than better (but more difficult) techniques. My
concern is when the "superior" techniques is either inaccessible to the
Dear all,
I'd like to throw my 2 cents in on the hypothesis testing thread, even
though I'm an inexperienced grad student who has only taught stats for a
few semesters.
First, I'd definitely agree with those who have indicated that if we
abandoned conventional hypothesis testing (as we see it in
At 04:00 PM 4/7/00 -0500, Michael Granaas wrote:
>But whatever form hypothesis testing takes it must first and formost be
>viewed in the context of the question being asked.
this seems to be the key to REinventing ourselves ... make sure the focus
is on the question ... AND, to REshape the que
On Fri, 7 Apr 2000, dennis roberts wrote:
> i was not suggesting taking away from our arsenal of tricks ... but, since
> i was one of those old guys too ... i am wondering if we were mostly lead
> astray ...?
I've been wondering a lot about this myself lately. Chow (1988) and Meehl
(1978) hav
Cool! There IS still a place in this world for Minitab Character Graphs. :)
dennis roberts wrote:
> how come when you do a pdf on a unit norm distribution and one say, where
> mean is 100 and sd = 15 ... you get different pdf values along the Y
> axis??? is it just because the lenght of the cont
Richard Barton wrote:
> Everybody? Not me. I'd teach everything in terms of effect sizes. Then
we get to argue over what are large/small effect sizes.
Rick: Yes, I like that approach too, partly (and not only) because it is
probably the hardest approach to turn into a ritual. However:
In article <013201bfa09d$6c2be970$[EMAIL PROTECTED]>,
Robert Dawson <[EMAIL PROTECTED]> wrote:
>> let's say that today ... we as the statistical community decided, by
>> democratic vote, that the concept of 'hypothesis testing' ... which has
>> essentially dominated statistical work for as long
In article <[EMAIL PROTECTED]>,
dennis roberts <[EMAIL PROTECTED]> wrote:
>let's say that today ... we as the statistical community decided, by
>democratic vote, that the concept of 'hypothesis testing' ... which has
>essentially dominated statistical work for as long as i can remember
>(which,
In article <[EMAIL PROTECTED]>,
j. williams <[EMAIL PROTECTED]> wrote:
>Some of us in the minority would not follow what might be "fashionable." I am
>one of those who believe hypothesis testing is still an important and integral
>part of statistics. Hypothesis testing is but one tool in the w
i was not suggesting taking away from our arsenal of tricks ... but, since
i was one of those old guys too ... i am wondering if we were mostly lead
astray ...?
the more i work with statistical methods, the less i see any meaningful (at
the level of dominance that we see it) applications of hy
Robert,
Everybody? Not me. I'd teach everything in terms of effect sizes. Then we get to
argue over what are large/small effect sizes.
rick
--- You wrote:
> let's say that today ... we as the statistical community decided, by
> democratic vote, that the concept of 'hypothesis testing' ..
Some of us in the minority would not follow what might be "fashionable." I am
one of those who believe hypothesis testing is still an important and integral
part of statistics. Hypothesis testing is but one tool in the whole arsenal
however. OTH, I'm an old guy who went through graduate scho
Hello,
Thank you very much for all the advice that you have given me. I
think the problem that you have perceived from me tells me that I must
think again about what I am doing. I have learned very much from this
newsgroup.
Sincerly,
Yorgi V.
Sent via Deja.com http://www.deja.com
Hi, Dennis--
Yes, "LOT of years!" ago (the 1950's), when I first started into the real applied
world,
our main job was to PREDICT, PREDICT, PREDICT outcomes. We had
some real cost figures to evaluate our predictions. Before the term Bootstrap
arrived on the scene, we were Cross-Validating like
Dennis Roberts wrote:
> the discussion of comparing variances brings to mind the following ... and
> is related to the post i just sent re: hyp testing
>
> let's assume that we are interested whether there is some difference in
> treatment effects ... as measured by means ... our null is the mu1
> let's say that today ... we as the statistical community decided, by
> democratic vote, that the concept of 'hypothesis testing' ... which has
> essentially dominated statistical work for as long as i can remember
> (which, er um ... is a LOT of years!) ... is relegated to the 'we
USED
>
On Fri, 7 Apr 2000, Renaud Lancelot wrote:
> I am modelling liveweight growth in sheep. My dataset has many
> individuals ( > 1000) but few observations per sheep (1 to 6,
> mean ~ 5), limited to early growth (0 - 3 mo), at regular time
> intervals (15 d). I have fitted a linear mixed effects
-
Apologies for cross-postings.
-
This is about a workshop on inference and asymptotics,
to be held from 9-14 July 2000 at Ascona in the Italian-
speaking part of Switzerland. See
http://statwww.epfl.ch/ascona2000/
The meeting is org
the discussion of comparing variances brings to mind the following ... and
is related to the post i just sent re: hyp testing
let's assume that we are interested whether there is some difference in
treatment effects ... as measured by means ... our null is the mu1 = mu2
now, we use the 'standa
let's say that today ... we as the statistical community decided, by
democratic vote, that the concept of 'hypothesis testing' ... which has
essentially dominated statistical work for as long as i can remember
(which, er um ... is a LOT of years!) ... is relegated to the 'we USED
to do th
On 6 Apr 2000, Radford Neal wrote:
> I think you cannot expect to receive useful advise regarding whatever
> your REAL problem is if you don't tell us what the data actually is
> about, and what your purpose in looking at it is.
Good point... I've just started looking at this thread. Has it eve
Dear all,
I am modelling liveweight growth in sheep. My dataset has many
individuals ( > 1000) but few observations per sheep (1 to 6, mean ~ 5),
limited to early growth (0 - 3 mo), at regular time intervals (15 d). I
have fitted a linear mixed effects model (Y = XB + ZU + E), where growth
was mo
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