[ABTEST-427] DOC: Write a summary of the Statistical Engine approach Created: 22/Mar/21 Updated: 23/Apr/21 Resolved: 06/Apr/21 |
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| Status: | Closed |
| Project: | A/B Testing |
| Component/s: | None |
| Affects Version/s: | None |
| Fix Version/s: | None |
| Type: | Task | Priority: | Neutral |
| Reporter: | Laura Delnevo | Assignee: | Julie Legendre |
| Resolution: | Fixed | Votes: | 0 |
| Labels: | None | ||
| Remaining Estimate: | Not Specified | ||
| Time Spent: | Not Specified | ||
| Original Estimate: | Not Specified | ||
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| Acceptance criteria: |
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| Date of First Response: | |
| Epic Link: | DOC: A/B Testing add-ons documentation |
| Sprint: | Content Mngmt 01 |
| Story Points: | 0.5 |
| Description |
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The Statistical Engine is a fundamental mechanism of the success of the ABn Testing. Whilst we do not want to share details of own algorithm, we should provide user with an overview of what approach we've taken
Useful links
Draft for docu
The Magnolia algorithm is built on the Frequentist approach, which optimises traffic volumes - even when the traffic is low, conversion rates and may reduce the number of observations required for a successful experiment by 50% or more. Predictions are made using data from the current experiment only.
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| Comments |
| Comment by Julie Legendre [ 06/Apr/21 ] |
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Thanks for doing all the leg work on this content ldelnevo. Much appreciated :bow: |
| Comment by Michael Duerig [ 23/Apr/21 ] |
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Here's some links to how competitors document their approaches: |