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We can clarify in the revision but my response is:
First “shape’ has both a strict and colloquial interpretation. Many of the distributions used for SSDs have a shape parameter (lognormal, loglogistic, Burr etc.). So in that sense we don’t have to provide a definition for accepted statistical terminology. In the more general context, I would have thought “shape” was a term that was well understood. In SSD modelling I would say we’re talking about: symmetry (or lack of) = skewness; peakedness = kurtosis; and how ‘heavy’ the tails are. Distributions that basically look the same (eg a normal and a logistic) will, by anyone’s assessment, have similar shapes.
Agree