Rich Ulrich [EMAIL PROTECTED] wrote:
Well, I can squint my eyes, and posit a Type III error that meets
that definition. But it's virtually never going to happen, or be
regarded as an event-of-that-class when it does; so it is not "on a
par with" the other two. In my opinion.
It seems to me
Chris said :"Since both the null and alternative are generally false,"
Now I'm confused. I always thought that null and alternative were mutually
exclusive and exhaustive, as in "parameter LE value" versus "parameter GT
value."
On Mon, 20 Nov 2000, Karl L. Wuensch wrote:
Chris said :"Since both the null and alternative are generally false,"
Now I'm confused. I always thought that null and alternative were
mutually exclusive and exhaustive, as in "parameter LE value" versus
"parameter GT value."
No, you're not
On 16 Nov 2000 17:18:44 GMT, [EMAIL PROTECTED] (Radford Neal)
wrote:
In article [EMAIL PROTECTED],
Rich Ulrich [EMAIL PROTECTED] wrote:
There is another definition [ of "Type III error" ] cited a few
times which is seemingly technical, "rejecting the null, but in the
wrong direction".
Howard Raiffa (Decision Analysis, footnote, p. 264) agrees that
errors
of the third kind are "solving the wrong problem", and attributes
this to John Tukey
My ref is:
Kimball, AW (1957)
Errors of the third kind in statistical consulting
J Am Stat Assoc 57, 133
Haven't got the paper,
In article [EMAIL PROTECTED],
Rich Ulrich [EMAIL PROTECTED] wrote:
There is another definition [ of "Type III error" ] cited a few
times which is seemingly technical, "rejecting the null, but in the
wrong direction". I think that is a similar sneer at bone-headedness.
There is no "wrong
What is a type III statistical error?
As far as I recall:
In the book:
Statistics for experimenters : an introduction to design, data
analysis, and model building
by Box, Hunter^2
there is a reference (I can find it at home) to another stat-book in
which typeIII is defined as:
"getting the
In article 8uttqd$v15$[EMAIL PROTECTED], Kresten [EMAIL PROTECTED]
wrote:
# What is a type III statistical error?
Howard Raiffa (Decision Analysis, footnote, p. 264) agrees that errors
of the third kind are "solving the wrong problem", and attributes this
to John Tukey. He also nominates for
Herman Rubin wrote:
In article 8tl9ir$j9g$[EMAIL PROTECTED], kj0 [EMAIL PROTECTED] wrote:
What is a type III statistical error?
(I know about types I and II).
Thanks,
This is the most common type; doing the wrong problem.
Herman,
Great one! Made my day.
--
Bill Clay
"Werner W. Wittmann" wrote:
Herman and N.N.,
type III error means measuring the wrong construct or something
nonexistent.In my German book about evaluation research(1985) I cited the
following:
"Statistician worry about two types of errors..:
Type I error is rejecting a
In article 8tl9ir$j9g$[EMAIL PROTECTED], kj0 [EMAIL PROTECTED] wrote:
What is a type III statistical error?
(I know about types I and II).
Thanks,
This is the most common type; doing the wrong problem.
--
This address is for information only. I do not claim that these views
are those of
il: [EMAIL PROTECTED]
- Original Message -
From: Herman Rubin [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Sent: Tuesday, October 31, 2000 2:05 PM
Subject: Re: What's type III?
In article 8tl9ir$j9g$[EMAIL PROTECTED], kj0 [EMAIL PROTECTED]
wrote:
What is a type III statistical error?
(I know
Although I do not have the source, I have heard Type III error described as
rejecting the null and concluding that there is an effect in one direction,
when, in fact, the effect is, in the population, in the opposite direction.
Assuming that a nondirectional test was employed, the null is false,
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