ecessary -- or, for that
matter, make much sense.
> Is there something on MatLab/STATA/SAS for that?
I don't know. Maybe someone else does.
-- DFB.
---
ls and sum the squares, and then find the percentage reduction
> > in the sum of squared residuals from the curve as compared to
> > residuals from the mean. This will be a kind of "r^2" whose square
> > root you can take (after converting to a decimal fraction).
>
the equation
you assert above without proof. One presumes you did not just pull it
"out of the blue" -- but then, perhaps one is being presumptuous.
-- DFB.
---
as something about the context that
gave implicit meaning, possibly even anchors of a sort, to the response
medium. If there was, you haven't so far described it.
-- DFB.
--
what it was you were calculating kurtosis of, for example.
> Any advice would be greatly appreciated!
>
> Claire
Not sure I have any _advice_ -- what I seem to be offering mainly is
puzzlement. But perhaps even that will help, a little.
the residuals against x and look at them. This
> should show up any systematic deviations.
Right. And any such
deviations will indicate how poorly the function in question (1/y or its
competitor) represents the lurking funct
----------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedford, NH 03110
On Wed, 31 May 2000, jineshwar singh wrote:
> --- "Donald F. Burrill" <[EMAIL PROTECTED]> wrote:
Yes, I knew I'd written that... It took me a while to find it, but
the sole addition I could find in your post was the statement
VIF=10 is based on empirical d
est. [I]
I agree with Robert Dawson about the phrasing of the problem, and a
certain part is stated, in my view, imprecisely at best. This is however
a terminological quibble and does not affect the calculations that are
required.
-- DFB.
nse; it's yet
another if you think you know (or know of) an appropriate procedure, but
don't see how to apply it in this case; for example.
-- DFB.
Donald
per variable one
is supposed to have before one dares essay a factor analysis)?
-- Don.
------------
Donald F. Burrill [EMAIL PROT
"cutoff", and
whether you propose to implement it blindly and without further thought,
or as a (very!) rough guideline regarding where the currents (and perhaps
the undertow) may be dangerous and REQUIRE further thought; just for two
examples.
-- Don.
--
of the products (or raw variables)
they're residuals from.
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
in Linear Regression," Biometrics 32, pp. 1-49.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedf
Sorry, all; my attempt to mail this to "Ken K." directly failed.
Presumably he reads the list, since he posted to it.
-- DFB.
----
Donald
alf percentage points. This implies that at the p = .01 level you
suggest, you can tell the 3% for the fourth category above from the 7%
for the third category, but possibly not from the (say) 2% for the fifth
category, with 2500 respondents.
Do you still think you want a decent stabilit
h industry(ies)?
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264
ck one whose author(s)
happen to be well-known in the field in which these folks think they
operate. (But make sure the authors' logic is correct!)
-- DFB.
Donald F. Burrill
ed per
> subject and stimulus. But since we are still in the design stage, this
> would not be a great difficulty.
Perhaps this conceptualization will help you to approach the various
possibilities. I am out of time now...
-- DFB.
ranges of X and Y.
--------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road,
ant sampling distribution
empirically.
But it is not at all clear, as several others have remarked,
that your problem is usefully addressed by measuring or comparing
correlations.
< snip, the rest >
-- DFB.
--------
y that may not be reproducible in subsequently
observed samples, depending as it does on the sample means and variances
in the present sample.
I hope this has not been too confusing; but you did ask!
-- DFB.
--------
in the first 3... the others are there just because they
> sum up to the SS of "Periods". They could have been Spring vs Others and
> Summer vs Winter or Summer vs Others and Spring vs Winter... whatever...
< snip, the rest >
-- DFB.
-the-mark my comments
> are!)
I hope this hasn't added to your confusion! If I have inadvertently
erred in any of the particulars above, doubtless someone on the list
will correct my error(s).
-- DFB.
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedford, NH 03110
se items are associated with low scores on the items
that loaded positively on the factor.)
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 H
hinking. Some of the errors
are essentially statistical; but even the ones that aren't ought to be
in every teaching statistician's armamentarium of bad examples.
-- Don.
---
A nice pun!(-:
--DFB.
--------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264
both assertions should be included in the statement of H_0.
> All we need is the relationship between the alternative hypothesis and
> the null hypothesis.
... Once one has decided on a suitable set of
null and alternative hypotheses.
< snip, the rest >
ion be more severe
than the risk associated with a type I error in the other direction, and
we thought we could quantify the relative risks.)
-- DFB.
Donald F. Burrill [EMAIL PROTECTED]
348 Hyd
th the mean standard deviations between each
> treatment and that expected by chance?
This does not make a whole lot of sense to me.
> t-Tests?
Possibly; see above.
----
Donald F. Burrill
;CSC Graduate Student
> >[EMAIL PROTECTED]
-- DFB.
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264
aps misleadingly) large, and a
pattern of correlations reflecting an exact linear dependency (that is, a
collinearity) in the predictors. The _problem_ is with collinearity;
the _evidence_ of possible collinearity lies in the R matrix. It is not
correct to _identify_ collinearity with correlation (or vice versa,
e might want to pursue
more intensively.
Time for class, gotta run. Just a thought, I haven't reflected
deeply on it.
Best regards!
-- Don.
------------
Donald F. B
ore finding an average ratio of
Y|X=1 to Y|X=0 ?
-- Don.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College,
Cheers!
-- Don.
--------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Pl
inverting a pxp
submatrix of predictors: the simple linear regression coefficient for
predicting Y from X_j alone would be unaffected by the presence of other
predictors in the model.
-- Don.
------------
untouched by the human mind", as Heidi Kass used to put it ...
> and generate GIGO, that certainly is dangerous.
Ayuh. -- DFB.
> Ellen Hertz
Donald F. Bu
of A and of B.
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Be
ish to address, and the real
predictors one has ARE correlated, what does one do? Throw up one's
hands in despair and wail, "It can't be done!" ?
-- DFB.
-----------
lieve there is a special deal
available from Minitab; perhaps one of my colleagues whose knowledge is
more immediate than mine will care to comment.
-- DFB.
----------
xperiments?
Yes.
> If you want to answer could you please forward the response to my
> e-mail address and I can forward them to her.
Done.
> Thanks,
You're welcome.
at
> produced them.
>
> Why do you think there may be error in the measurements, and how would
> you detect it if there were?
Donald F. Burrill [EMAIL PROTECTED]
34
strategy, among a very large number
of possible strategies, can have this effect; and that Players showing
evidence of pursuing such a strategy very rapidly become persona non
grata at the gaming tables.
-- DFB.
-----------
if this is a trivial question ...
-- DFB.
----
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
M
-- Don.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 6
lation?
Ah. For _that_, you'd probably get more interesting answers from your
client's instructor than from me. I don't even believe in residualized
gain scores (used in G&H's sole example of part correlation).
he were ever going to carry out
the research she had in mind in the first place.
> This is my first crack at this type of research, and any help in this
> regard would be greatly appreciated.
Hope this has helped some.
-- DFB.
-
this question in any case.
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTE
n"; but perhaps you meant
something else.
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMA
on without 'em):
use them to identify subgroups from which to sample.
More than that it is not possible to suggest with the paucity of
information supplied.
-- DFB.
------------
Donald F. Burrill
specification of a null hypothesis is to be able to specify a sampling
distribution for the statistic being observed in the state "Hypothesis
true". This then makes it possible to describe (estimate) the
probability that one's data are consistent with the null hypothesis, and
2x2
table. You've only got one degree of freedom for detecting whether there
is ANY relationship of any kind; you have zero d.f. for detecting
whether a relationship, once found, is of one kind or another.
> The significance of null_2 is (I+D-2*t)/N
See comments above on
ituation; although it is quite
possible that some folks would insist on one or another.)
----
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
M
- DFB.
----
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedford, NH
x27;t need persuasive reasons to DO
it, only to support your arguments with colleagues and editors that a
non-standard procedure like this is defensible.) A one-sided test is
merely an extreme form of an asymmetric two-sided test.)
-- Don.
--
sure whether this will help, because I'm still not sure I
understand what you're trying to ask; however, I do think I understand
the two answers I've seen offered.
-- DFB.
-
you want some other
kind of partition? If so, you'll have to model it.
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall
he existence of
clustering. Plotting this against, say, angular dispacement would give
information about the location(s) of cluster(s).
-- DFB.
------------
Do
opinion I would be most appreciative as I am a bit
> stumped on this one...........thank you...dale glaser
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, N
you wish to consider other distributions on [0,1], permitting
intermediate values of the variable, it's a little more difficult.
Do you want further conversation?
-- DFB.
------
d this contretemps by resampling techniques;
but I suspect that a careful examination of the logic of resampling
applied to one of Bob's situations would show an implicit and possibly
hidden attribution of infinitesimal probability to the value
corresponding to "0".)
rnative hypothesis(-es) that are to be considered simultaneously.
-- Don.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC
Dennis' 3 questions above by finding
confidence intervals, one is reintroducing hypothesis tests, as it were
by a back door.]
-- Don.
------------
Donald F. Burrill [EMAIL PRO
for serial correlation
> alone, but how to deal with concomitant heteroscedasticty ?
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH
It's more, I think, an issue in the interface (or intersection) between
statistics and your substantive discipline. Most interesting questions
are like that, I think.
-- DFB.
-
ulating the problem to more people can only be helpful...]
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth Stat
what I am doing now.
In what terms are you doing that? You have said above that
the variable that appears less variable is the one with the greater
variance. You can't be reporting _that_, or whoever you're reporting
to would surely wonder (with some justification) if you
lots display.)
-- Don.
--------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-5
marks about what is known about period 2, and
assuming that it's qualitatively different from period 1, I'd be VERY
skeptical...
-- DFB.
Donald F. Burrill [EMA
f so what
it is, is therefore unclear as well.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 60
tantial
> probability of obtaining 0 heads so empirically you obtain
> lots of cells with 0,1,2 etc.).
>
> Given that, I have failed to come up with a statistic to test it.
>
> TIA for any pointers to help.
>
> Bob
---
ransparency indicates relatively fewer
> points, opacity indicates relatively more points.
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29,
normal density function.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua
the population mean has that value.
Notice that this is NOT the question you are implicitly asking
when you compare TWO confidence intervals to see whether they overlap.
------------
Donald F. Burrill
ints prepared by the students themselves: except that the
professor's supplied aids are likely to be more efficient.
Donald F. Burrill [EMAIL PROTECTED]
phrase "-lamba (a)" intended to be an exponent?
(Perhaps they were, in your original post; my mailer does not handle
superscripts or subscripts and requires strategems like k^2 or k**2
to represent the square of k , and e^[-lambda(a)] or exp[-lambda(a)]
to represent
to retain, or are artifacts introduced by the way in which (some of)
the variables were defined.
-- DFB.
--------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymo
he's offering a short course on dual scaling sometime
soon, but I've forgotten the dates.)
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
3
rawing a sample.
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 60
on-respondents. Or by other factors
involved in selecting the larger sample that were not present in
selecting the smaller.)
-- DFB.
------------
Donald F. Burrill [EMA
the student; I delighted in quoting the def'n and
then stating its corollary: that I couldn't tell them how to get an
A+!).
-- Don.
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College,
tion(s) s/he has in mind.
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264
tation committee member).
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth
uch sense to talk about "the best extractions".)
> Thank You.
>
> Lorenzo Camprini
> [EMAIL PROTECTED]
-- DFB.
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde
ated measures
> option?
I am not familiar with SAS, and cannot address this question.
-- DFB.
Donald F. Burrill [EMAIL PROTECTED]
-- DFB.
--------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedford, NH 03110
es the factor to the residual SS for a model that does not include
the factor?
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264
ors; so I should think the above comments, which have
only to do with (apparent) collinearity among the predictors, would be
applicable in this case as well.
-- DFB.
Donald F. B
LOL. Obviously, you have no clue what you're talking about.
Mmm. Do you suppose, Lim, that things might be different in Singapore?
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, P
re pulling everyone's leg (a distinct
possibility, with that lot). (To have named it after Canada, and then to
have acknowledged that, would have been to display a quite un-Canadian
degree of national hubris. :-)
--
> within the plot, and the labeled among plant, as the interaction?
>
> I hope i have been clear, in order to receive SOME HLP
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall
by the ratio of standard
deviations (SD.y/SD.x) to obtain the "raw" regression slopes.)
-- Don.
------------
Donald F. Burrill
but the slope would not?
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedford, NH 03110
n [1] to estimate B1; in [2] you will partial out both x2 and x3 in
estimating B1, etc.
> Please format your excellent answer using my little "schedule" jargon.
------------
Donald F. Burrill
ormance art. Don't know as I should
expect a response...
-- Don.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State Coll
"points" (and how many of them are there?) half of which would be zeroes
etc.? Are we to understand that the half that are zero are randomly zero
in some sense of "random"? Why?
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hal
and infinite d.f.
> Or maybe your confidence limits are for another distribution.
The original post to which you were responding did not mention
confidence limits at all; it dealt with power analysis.
------------
Do
ndrum attributed to A. Lincoln:
"If you call a tail a leg, how many legs does a horse have?" His answer:
"Four. Calling a tail a leg doesn't make it one."
Just so.
-- DFB.
D
some of
them may be able to offer useful advice.
-- DFB.
------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 0
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