Timeline for Standard deviation of a scaled Poisson process
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 6, 2019 at 15:37 | vote | accept | Sjoerd C. de Vries | ||
| Oct 1, 2019 at 14:21 | answer | added | Sextus Empiricus | timeline score: 2 | |
| Oct 1, 2019 at 10:36 | answer | added | rasmodius | timeline score: 1 | |
| Oct 1, 2019 at 7:58 | history | edited | Sjoerd C. de Vries | CC BY-SA 4.0 |
added 207 characters in body
|
| Oct 1, 2019 at 7:58 | answer | added | Glen_b | timeline score: 5 | |
| Sep 30, 2019 at 21:21 | comment | added | Sjoerd C. de Vries | The reported standard deviation would be the (Theoretical) StDev of repeated measurements of this monthly number. | |
| Sep 30, 2019 at 21:07 | comment | added | knrumsey | Reporting a monthly rate: I suppose it makes sense to report $N/12$. It is unclear to me what the standard deviation means for this quantity, since $N$ is observed and no longer random. Why are you interested in reporting a standard deviation, and what exactly do you want this to mean? | |
| Sep 30, 2019 at 20:54 | comment | added | knrumsey | Neither is "correct" without more information. The first approach is giving the average monthly events. If there are $N=120$ events in a year, this assumes that there are $10$ events a month on average. This ignores the fact that the number of events per month can differ. The second approach takes this into account. It depends on your goals. | |
| Sep 30, 2019 at 19:53 | history | asked | Sjoerd C. de Vries | CC BY-SA 4.0 |