Timeline for Expectation of log skew normal distribution
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Sep 6, 2020 at 22:51 | comment | added | Glen_b | Thanks, the question was previously not clear that this is was what was sought. | |
| Sep 6, 2020 at 17:44 | comment | added | kjetil b halvorsen♦ | @Glen b: He thinks about the exp of the skew Normal distribution: web.williams.edu/Mathematics/sjmiller/public_html/342/handouts/… | |
| Sep 6, 2020 at 17:21 | history | edited | J Doe | CC BY-SA 4.0 |
added 643 characters in body
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| Sep 6, 2020 at 17:19 | vote | accept | J Doe | ||
| Sep 6, 2020 at 17:00 | comment | added | J Doe | How would you suggest parameterizing it then? You are right, it is skewed after taking a log transform, but fitting that skewed log transformed data with a skew normal distribution does lead to a data generating process that pretty closely matches my data | |
| Sep 5, 2020 at 3:04 | comment | added | Glen_b | If the distribution of a random variable is skewed after you take a log transformation it wasn't lognormal to begin with | |
| Sep 4, 2020 at 21:05 | answer | added | JimB | timeline score: 2 | |
| Sep 4, 2020 at 20:24 | history | asked | J Doe | CC BY-SA 4.0 |