Well, if we had a normal (or Binomial) distribution and make 1000 tests, we
lokk for the Variance of the 0.001 quantil. I don't have a formula in mind
for this, but, yes, the variance would be quite large. I guess in the order
of \sigma^2 (instead of \frac{\sigma^2}{n} for the average).
We certainly have a true minimum value mv (the number of unavoidable CPU
cycles) and the distribution is highly non-symmetric. I think shifted Poisson
Poi(x-mv) or exponential distributions are not the worst guess.
Richard wants to find the true minimum mv. The minimum measured is not the
worst estimator. It's even asymptotically unbiased. If you knew the
distribution you were of course able to find more efficient ones.
Reagrds,
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