4 ms·
If the error is proportional to the measurement - can't you just take the log to make it additive again?
by Fede_V 11y ago
If the error is proportional to the measurement - can't you just take the log to make it additive again?
- RA_Fisher 11y agoHmm, it's not clear to me what the benefit of that would be in terms of information (a transformation). It's univariate data, it's been a bit since I looked at it but a histogram showed readings were lognormal / weibull / gamma distributed (point is asymmetric, right-skewed), I believe. In terms of inference, it's kind of mind-bending to think of a "population" of blood and each person having a specific variation.