What do you mean by 'combination'?  Clearly, the mean of two values is
between those two (unless they are equal), but other versions of
combination are not (e.g, the sum never is).

If 'combination' = 'mean' then it is not necessarily true that the
combination is closer to the true value than either of the values that
make up the mean; you seem to be confusing error and bias.

But even if the measurements are unbiased, with only two, it's easily
possible for them to both be too low or too high.  If each meansurement
is TRUE + ERROR, and error is ~ N(0, sigmasq) then 1/4 of the time both
will be low, 1/4 of the time both will be high, 1/2 the time one will be
high and one low.  In the last case, obviously, the combination is
closer to the true value than either of the components; in the first two
cases,
it is not.

HTH

Peter

Peter L. Flom, PhD
Assistant Director, Statistics and Data Analysis Core
Center for Drug Use and HIV Research
National Development and Research Institutes
71 W. 23rd St
www.peterflom.com
New York, NY 10010
(212) 845-4485 (voice)
(917) 438-0894 (fax)



>>> [EMAIL PROTECTED] 3/15/2004 10:58:03 PM >>>
Hi,

I have a very simple question related to the combination of two
results that can, in general, be correlated.

It's natural to assume that combination C of two measurements A and B
must be within the interval between the values A and B. Is this always
true?

On the other hand, two measurements A and B can be the values that are
higher than the true value T. Then if the process of combination
reduces the error or uncertainty of the measurement, the combined
value C will get more close to the true value T and even may get
outside the interval of the values between A and B.

So which statement is the correct one?
I would really appreciate any help on this problem.
Thank you.
.
.
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