The Subject was written as "Distribution Free Tolerance Limits."
- here was the statement,
"We're doing some research in statistical classification of
abnormalities in retinal images (that is, pattern recognization), and
we need to estimate the size of the sample nescesary. We've heard of
some tables for this purpose <subj> and would like to know if someone
knows where to find them (or something similar)."
Tolerance limits? Are limits wanted in order to reject a bunch of
possible outliers? or to select the outliers?
And you are asking for the "size of the sample necessary" -- in order
to achieve what end? I guess I also suspect that I want to frame the
problem as something other than what I consider "tolerance limits",
and I don't know to what extent the question ought to be serious about
"distribution free."
On 19 May 2000 00:02:52 -0700, [EMAIL PROTECTED] wrote:
> Chebycheff's Inequality redivivus!
>
- Right - that is an ultimate distribution-free result, if I
remember correctly, which only requires finite variance. (Not
necessarity unimodal.)(And in practice, you ought to do a whole lot
better, right? ...) I don't know what those texts may be giving -
> Tables of the tolerance factors may be found in the following two
> venerable texts. (They can also be calculated from the inequality with a
> number of numerical analysis packages for the Mac or the PC)
>
> Engineering Statistics, 2nd Edition; Bowker and Lieberman, Prentice Hall
> Introduction to Statistical Analysis, 4th Edition, Dixon and Massey,
> McGraw Hill
< snip >
--
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
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