Details
-
Task
-
Resolution: Fixed
-
Neutral
-
None
-
None
-
None
-
-
Empty show more show less
-
Empty show more show less
-
Content Mngmt 01
-
0.5
Description
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
- Write one of two paragraphs summarising our statistical engine
- Pass the overview to docu team for its addition to the existing documentation
Useful links
- Andrei's write-up https://wiki.magnolia-cms.com/display/WIKI/Experimentation+module+%3A+The+main+concept
- Blog https://splitmetrics.com/blog/sequential-a-b-testing/
- Blog https://splitmetrics.com/blog/splitmetrics-sequential-ab-testing/
Draft for docu
- Suggestion. Could be part of the "How results are calculated" section. jlegendre text in italics is the suggested addition to the section
- Alternatively, the additional information would also sit well with the information/screenshot of the set-up tab (screenshot)
- I added sources for internal reference only
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.
Checklists
Acceptance criteria