Timeline for How to verify A/B test
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 11, 2020 at 1:17 | comment | added | Emre | The former compares multiple hypotheses. The latter potentially rejects a single hypothesis. Two approaches, reflecting different philosophies, were developed back in the day, and became somewhat conflated. A reading of the history might bring clarity. | |
| Feb 8, 2020 at 3:45 | comment | added | Dave | @Emre what do you consider the difference between a likelihood ratio test and a significance test? | |
| Feb 8, 2020 at 3:03 | 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. | |
| Jan 8, 2020 at 21:40 | answer | added | Sandeep Shah | timeline score: 1 | |
| Jan 5, 2018 at 2:06 | comment | added | Emre | Of course. Many ways. One is to do a likelihood ratio test (if you have to choose one). Another is to do a significance test (if you don't; maybe the difference is due to chance). In open-ended scenarios you can use Thompson sampling to sequentially exploit the best option to the degree that it is performing better. | |
| Jan 5, 2018 at 1:29 | history | asked | John Constantine | CC BY-SA 3.0 |