Timeline for If we are taught to not remove outliers without investigation, how do robust methods (median, trimmed mean) can be even suggested?
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 18, 2020 at 12:35 | comment | added | Kartik74SunGun | Thank you very much for the explanation! | |
| May 18, 2020 at 12:34 | vote | accept | Kartik74SunGun | ||
| May 16, 2020 at 14:26 | comment | added | BruceET | @NickCox. I have made a few changes, I hope in the direction you suggest. | |
| May 16, 2020 at 14:24 | history | edited | BruceET | CC BY-SA 4.0 |
added 29 characters in body
|
| May 16, 2020 at 11:46 | comment | added | Nick Cox | Remove is just a word, but the range of interpretations is what bites here. Remove in extreme cases means delete or erase from the dataset as misleading or useless . Remove in the sense of trimmed means means decide that the exact magnitudes of certain values in the tails are not used in calculations, no more, no less. So, although this is a fine answer, the wording could be tweaked minutely in a few places. | |
| May 16, 2020 at 3:17 | history | edited | BruceET | CC BY-SA 4.0 |
added 19 characters in body
|
| May 16, 2020 at 3:12 | history | edited | BruceET | CC BY-SA 4.0 |
added 19 characters in body
|
| May 16, 2020 at 3:06 | history | edited | BruceET | CC BY-SA 4.0 |
added 137 characters in body
|
| May 16, 2020 at 2:58 | history | answered | BruceET | CC BY-SA 4.0 |