All woodpecker kidding aside, this brings up an interesting question.
For most of the measures we look at: ADEV and related measures, you're looking at statistics collected essentially continuously (e.g. adjacent sample frequency) at various time offsets.
But what about when the observations have gaps? Say you're measuring the frequency of a spacecraft oscillator, and you can only see it for 8 hours a day? the description of the frequency variation at a time difference of 24 hours is useful, even if the integration time for each measurement is, say, 1000 seconds.
Maybe such things are so idiosyncratic that the description should be unique to the situation, or maybe there's no real insight to be gained by a generalized formulation, as there is with the Leeson model.
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