Timeline for Must maximum likelihood method be applied on a simple random sample or on a realisation?
Current License: CC BY-SA 4.0
12 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 13 at 21:17 | vote | accept | MysteryGuy | ||
| S May 18 at 17:01 | history | bounty ended | CommunityBot | ||
| S May 18 at 17:01 | history | notice removed | CommunityBot | ||
| May 11 at 16:59 | answer | added | statmerkur | timeline score: 3 | |
| S May 11 at 9:01 | history | suggested | Guilherme Marthe | CC BY-SA 4.0 |
Better exposition
|
| May 10 at 15:01 | answer | added | Guilherme Marthe | timeline score: 0 | |
| May 10 at 14:49 | review | Suggested edits | |||
| S May 11 at 9:01 | |||||
| S May 10 at 14:30 | history | bounty started | MysteryGuy | ||
| S May 10 at 14:30 | history | notice added | MysteryGuy | Draw attention | |
| May 8 at 13:19 | comment | added | MysteryGuy | @User1865345 I know. This is precisely why I am asking the question :) | |
| May 8 at 13:12 | comment | added | User1865345 | Biasness and consistency, for examples, are the properties of the estimator. On the other hand, $\bar x$ is simply a realization of the estimator. | |
| May 8 at 12:55 | history | asked | MysteryGuy | CC BY-SA 4.0 |