Timeline for Outlier detection using the difference between two z-scores
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 2, 2020 at 12:25 | vote | accept | Ari | ||
| Jan 2, 2020 at 12:18 | comment | added | Ari | @Nick Cox, I've made the necessary edits. I agree that automated outlier removal is risky. I'll have to try and see if the modified z-score method is useful in my data. | |
| Jan 2, 2020 at 12:16 | history | edited | Ari | CC BY-SA 4.0 | deleted 11 characters in body |
| Jan 2, 2020 at 12:16 | comment | added | Nick Cox | z-score, meaning presumably (value $-$ mean) / SD, is a lousy criterion for identifying problematic values. The difficulty is that the mean and SD may themselves be thrown off by such outliers. I am with @Peter Flom in distrusting all automated methods even for identifying possible outliers, but if compelled to choose I would start with (value $-$ median) / IQR assuming values are on an appropriate and approximately symmetric scale. | |
| Jan 2, 2020 at 12:06 | answer | added | Peter Flom | timeline score: 4 | |
| Jan 2, 2020 at 11:15 | review | First posts | |||
| Jan 2, 2020 at 13:18 | |||||
| Jan 2, 2020 at 11:10 | history | asked | Ari | CC BY-SA 4.0 |