00:33
@AndreSilva I wanted to explain a bit further why I rejected the 'kurtosis' tag wiki (though I expect others will accept it in any case). Defining 4th moment kurtosis to be a measure of peakedness - as many sources do - is quite wrong (and equally, defining it as a measure of heavy-tailedness is equally wrong), as Kendall and Stuart show by a series of counterexamples.
In a way, it measures both. It's basically a function of the variance about mu +/- sigma (and hence is described as 'lack of shoulders').
I was reticent to reject it, but I couldn't let further perpetuation of this misunderstanding go without at least some discussion.
It would be reasonable to say kurtosis is associated with both peakedness and heavy-tailedness. If the tag wiki and extract said something like that, I think that would be good.
To clarify; one of the things Kendall and Stuart show is that you can have distributions that are more peaked than others but for which 4th moment kurtosis goes down, and they also show you can have distributions for which the tail is heavier but for which the kurtosis goes down - showing it's not either one alone. It's algebraically possible to expand the fourth moment in such a way as to show that it can be regarded as a measure of variability about mu +/- sigma.
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@AndreSilva Indeed, along the 'measures both' front, Fiori & Zenga (2005) ("The meaning of kurtosis, the influence function and an early intuition by L Falschini", Statistica, LXV, no 2) indicate that if anything, it's more a measure of tail than of peak (page 139): "$β_2$ is primarily a measure of tail behavior and only to a
lesser extent of peakedness."
lesser extent of peakedness."
It's their 3 volume "Advanced Theory of Statistics" (originally Yule&Kendall, then Kendall&Stuart then Kendall, Stuart and Ord, then Stuart & Ord , ...). I don't know for certain which volume, but I assume Volume I. It's 25 years since I saw that part and probably 20 years since I have even held a copy at all.
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