Re: A NEW publication: "Finnish Statistics for Dummies".
- From: "Anon." <bob.ohara@xxxxxxxxxxxxxxxxx>
- Date: Wed, 27 Sep 2006 21:08:21 +0300
Reef Fish wrote:
Anon. wrote: (18 mintes after RF's post):Only if the empirical mean of Y is equal to the true (population) mean. Are you really saying that this is always the case? An estimate of a parameter (even an unbiased one) does not have to equal the true value. If it did, we wouldn't need to use statistical analysis.Reef Fish wrote:Anon. wrote (only 4 minutes after RF's post):Reef Fish wrote:Anon. wrote: (5 minutes after RF's post):Reef Fish wrote:<snip>
Yes, you're right. They're not. That's why the intercept still exists
even though it has a point estimate of zero.
Anon O'Hara forgot to mention -- ALWAYS, regardless of what
the data is -- that intercept will ALWAYS be zero.
That is a correct fact. But I can''t find no appropriate place to
put it other than in a new book "Finnish Statistics for Dummies"
since I had already a version "Portuguese Statistics for Dummies".
In Finnish Statistics, if you know there is something nonexistent
in a model (because its estimate will ALWAYS be ZERO no
matter what the data is), you can call that a "parameter" that is
known to be always zero.
Thus, if the TRUE model is Y = b X + e
You're just dodging the question: in the model Y = a + b X + e, where X is mean centred, how is the correlation between the estimated a and b non-zero?
Bob
--
Bob O'Hara
Department of Mathematics and Statistics
P.O. Box 68 (Gustaf Hällströmin katu 2b)
FIN-00014 University of Helsinki
Finland
Telephone: +358-9-191 51479
Mobile: +358 50 599 0540
Fax: +358-9-191 51400
WWW: http://www.RNI.Helsinki.FI/~boh/
Journal of Negative Results - EEB: www.jnr-eeb.org
.
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