Donald Burrill wrote:

> [snip]It is of course possible to circumvent this problem altogether, by
> using algorithms that implement something like the definitional formulas
> rather than the old-fashioned "computational" formulas;

In my innocence, I would think that the definitional form would entail more
rounding error, not less.

> but the people
> who programmed the statistical routines in Excel, from all the reports
> I've seen, apparently were blissfully unaware of the existence of the
> potential problem.

Maybe they believe (a) it won't happen to them -  people who use Excel for
stats, or (b) there is little they can do about it.

I have tried out one NIST sample data file on Excel, to see it get very
confused in the 3rd & 2nd significant digit.  that file, however, involved
some very small differences in very large numbers.

the data which started this discussion, I believe, had values on the order
of -1.5 as a sum of square.  Without the original data we can't see exactly
the problem source, true?  So I inferred that the numbers were not minute
differences of large numbers, but an equation error.  Certainly, one should
double check that (naggingly simple & frustrating) alternative early on.

> Anyone interested in this phenomenon (effects of digital precision) in
> more detail may wish to consult my 1969 Ph.D. thesis (Cornell), an
> abbreviated version of which was published in JSCS (the Journal of
> Statistical Computation and Simulation?) about 1973 +/- 2:
> "Computer-generated errors in statistical analyses:  Variances and
> covariances".

Are these errors generated still valid with bigger machines?


Cheers,
Jay
--
Jay Warner
Principal Scientist
Warner Consulting, Inc.
4444 North Green Bay Road
Racine, WI 53404-1216
USA

Ph: (262) 634-9100
FAX: (262) 681-1133
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