Hi,

Just a small pedantry correction:

Luc, you wrote:
> The evaluation that is only an approximation is the on-line algorithm,
> because it does not keep all values in memory. However, even when
> everything is in memory one should be aware that the result of the
> computation is the sample quantile, not the quantile of the underlying
> distribution and it seems this statistic is biased (sound to me close to
> what happen with standard deviation, with the 1/n or 1/(n+1) factors).

I assume you mean 1/n and 1/(n-1). (The latter is used to get an
unbiased estimate of the variance.)

Besides that: interesting and relevant discussion.

Cheers, Mikkel.

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