On Sat, Aug 28, 2021, 8:34 AM Stephen J. Turnbull < stephenjturnbull@gmail.com> wrote:

David Mertz, Ph.D. writes:

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NANs do not necessarily represent missing data.

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I think in the context of `stats` they do. But this is color of bikeshed, and I defer to you, of course.

I have a distribution for you: Cauchy. :-)

Oh? Because NaN is the *result* of `stats.variance(cauchy)`? It still seems like as INPUTS to a stats function NaN ~= missing.