Timeline for Estimating max value from statistical data
Current License: CC BY-SA 4.0
12 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 27, 2020 at 3:06 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Nov 25, 2020 at 0:40 | answer | added | Jarrett Meyer | timeline score: 1 | |
| Nov 24, 2020 at 20:27 | answer | added | emiru | timeline score: 0 | |
| Nov 24, 2020 at 20:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jul 26, 2020 at 21:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Mar 25, 2020 at 16:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 17, 2018 at 10:16 | answer | added | kjetil b halvorsen♦ | timeline score: 1 | |
| Oct 16, 2018 at 21:26 | history | edited | kjetil b halvorsen♦ |
edited tags
|
|
| Aug 31, 2018 at 13:28 | comment | added | whuber♦ | Without making some specific and strong assumptions, all you can do is obtain bounds for the maximum. Both will be finite (the lower bound obviously is not below the third quartile and the upper bound obviously is limited by a certain number of standard deviations above the mean). | |
| Aug 31, 2018 at 7:52 | comment | added | Arnaud | Accurately, no. Maximum is a random variable. If you know the family of your distribution (Gaussian for instance) you should be able to calculate the density of probability of your maximum value. But, even in that case, I think it would not be very accurate. | |
| Aug 31, 2018 at 7:40 | review | First posts | |||
| Aug 31, 2018 at 8:22 | |||||
| Aug 31, 2018 at 7:34 | history | asked | burner888 | CC BY-SA 4.0 |