Timeline for Transformation to increase kurtosis and skewness of normal r.v
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 31, 2018 at 18:31 | answer | added | JPlatts | timeline score: 1 | |
| Feb 23, 2015 at 1:11 | comment | added | Glen_b | (ctd)... especially if the particular family you generate doesn't tend to reveal issues that may otherwise be fairly common. | |
| Feb 23, 2015 at 1:10 | comment | added | Glen_b | The problem with a sequence of transformations like that is your conclusion is limited to the effects of that particular sequence. Your sequence will in effect trace out a path in $(\gamma_1,\gamma_2)$ space corresponding to a single family of distributions based off a (presumably one-parameter, since you say 'sequence') transformation of the normal. Give that the viable $(\gamma_1,\gamma_2)$ region is 2D and that for any given point within it there are an infinite number of different distributions, looking at a single family tracing out a single curve would be somewhat limiting... (ctd) | |
| Feb 23, 2015 at 0:58 | answer | added | Georg M. Goerg | timeline score: 7 | |
| Nov 13, 2012 at 12:43 | vote | accept | Matteo Fasiolo | ||
| Nov 13, 2012 at 12:27 | answer | added | user10525 | timeline score: 27 | |
| Nov 13, 2012 at 11:13 | answer | added | Peter Flom | timeline score: 5 | |
| Nov 13, 2012 at 10:51 | history | asked | Matteo Fasiolo | CC BY-SA 3.0 |