Approximate log-transformation of time-series data
For a random variable x, its approximate mean on a natural log scale is the log of its untransformed mean. The approximate variance on a log scale is equal to the squared coefficient of variation.
This transformation only makes sense for variables with dimension and a true zero point, such as lengths and areas.
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